-----------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  "
  log type:  text
 opened on:  21 Jul 2025, 10:03:19

. * Set workng directory
. cd "/"

. 
. 
. 
. use Stolpersteine_a.dta, clear

. 
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. * ············································································ *
.                              * PREPARE VARIABLES *                          
. * ············································································ *
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. 
. 
. * ··························  PRE-T SOCIODEMO  ······························· *
. tab age, gen (age_)

        age |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        212       28.73       28.73
          2 |        323       43.77       72.49
          3 |        132       17.89       90.38
          4 |         39        5.28       95.66
          5 |         26        3.52       99.19
          6 |          6        0.81      100.00
------------+-----------------------------------
      Total |        738      100.00

. 
. 
. * Non-binary individuals do not match pre-registered block randomization. These cases are dropped.
. tab gender

     gender |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        377       51.08       51.08
          2 |        345       46.75       97.83
          3 |         16        2.17      100.00
------------+-----------------------------------
      Total |        738      100.00

. drop if gender == 3
(16 observations deleted)

. 
. gen woman = 0

. replace woman = 1 if gender == 2
(345 real changes made)

. 
. * 1 religious, 2 agnostic, 3 atheist, 4 other
. gen religious = 0

. replace religious = 1 if religiosity == 1
(145 real changes made)

. 
. /*Race/ethnicity
> * Var "ethnicitysimplified" contains race/ethnicity pre-recorded values. 
> * Var "raceminority" contains question as to whether respondent believes themselves to belong to the majority race in their country 
> raceminority is renamed to avoid confusion. */
. 
. rename raceminority raceminoritymajority

. 
. tab ethnicitysimplified

   Ethnicity |
  simplified |      Freq.     Percent        Cum.
-------------+-----------------------------------
       Asian |          9        1.25        1.25
       Black |          2        0.28        1.52
DATA_EXPIRED |         10        1.39        2.91
       Mixed |         26        3.60        6.51
       Other |          2        0.28        6.79
       White |        673       93.21      100.00
-------------+-----------------------------------
       Total |        722      100.00

. gen ethnicminority = 0

. replace ethnicminority = 1 if ethnicitysimplified == "Asian" | ///
> ethnicitysimplified == "Black" | ethnicitysimplified == "Mixed" | ///
> ethnicitysimplified == "Other" 
(39 real changes made)

. replace ethnicminority = . if ethnicitysimplified == "DATA_EXPIRED"
(10 real changes made, 10 to missing)

. tab ethnicminority

ethnicminor |
        ity |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        673       94.52       94.52
          1 |         39        5.48      100.00
------------+-----------------------------------
      Total |        712      100.00

. 
. gen white = 0

. replace white = 1 if ethnicitysimplified == "White"
(673 real changes made)

. 
. 
. 
. * Other types of minorities
. * 1 = sexual minority
. * 2 = disabled
. * 3 = other type
. * 4 = not a minority
. 
. * see if there is any ethnic minority that says 4
. 
. gen minority = 0

. replace minority = 1 if ethnicminority == 1 | otherminority != "4"
(212 real changes made)

. tab minority

   minority |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        510       70.64       70.64
          1 |        212       29.36      100.00
------------+-----------------------------------
      Total |        722      100.00

. 
. gen otherminoritydummy = 0

. replace otherminoritydummy = 1 if otherminority != "4"
(206 real changes made)

. 
. * Bundesland of birth *
. label define land 1 "Baden-Württemberg" 2"Bayern" 3"Berlin" ///
> 4 "Brandenburg" ///
> 5 "Bremen" ///
> 6 "Hamburg" ///
> 7 "Hesse" ///
> 8 "Mecklenburg-Vorpommern" ///
> 9 "Niedersachsen" ///
> 10 "Nordrhein-Westfalen" ///
> 11 "Rheinland-Pfalz" ///
> 12 "Saarland" ///
> 13 "Sachsen" ///
> 14 "Sachsen-Anhalt" ///
> 15 "Schleswig-Holstein" ///
> 16 "Thüringen" 

. 
. label values state land 

. tab state, gen (state_)

                 state |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
     Baden-Württemberg |         87       12.05       12.05
                Bayern |         81       11.22       23.27
                Berlin |         36        4.99       28.25
           Brandenburg |         21        2.91       31.16
                Bremen |         13        1.80       32.96
               Hamburg |         18        2.49       35.46
                 Hesse |         65        9.00       44.46
Mecklenburg-Vorpommern |          6        0.83       45.29
         Niedersachsen |         68        9.42       54.71
   Nordrhein-Westfalen |        188       26.04       80.75
       Rheinland-Pfalz |         39        5.40       86.15
              Saarland |         10        1.39       87.53
               Sachsen |         26        3.60       91.14
        Sachsen-Anhalt |         14        1.94       93.07
    Schleswig-Holstein |         33        4.57       97.65
             Thüringen |         17        2.35      100.00
-----------------------+-----------------------------------
                 Total |        722      100.00

. 
. 
. 
. * generate dummy variables of pre-treatment sociodemo *
. tab education, gen (edu_)

  education |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         12        1.66        1.66
          2 |         70        9.70       11.36
          3 |        260       36.01       47.37
          4 |        199       27.56       74.93
          6 |        157       21.75       96.68
          7 |         24        3.32      100.00
------------+-----------------------------------
      Total |        722      100.00

. tab income, gen (income_)

     income |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        134       18.61       18.61
          2 |         94       13.06       31.67
          3 |        105       14.58       46.25
          4 |        185       25.69       71.94
          5 |        107       14.86       86.81
          6 |         58        8.06       94.86
          7 |         37        5.14      100.00
------------+-----------------------------------
      Total |        720      100.00

. tab polint, gen (polint_)

     polint |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        139       19.25       19.25
          2 |        358       49.58       68.84
          3 |        205       28.39       97.23
          4 |         20        2.77      100.00
------------+-----------------------------------
      Total |        722      100.00

. 
. 
. 
. 
. 
. * ··················· TREATMENT, CONTROL & CHECKS ····························· *
. 
. 
. * Create dummy for those who fail/don't answer the attention check
. fre attention

attention -- attention
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |          2       0.28       0.28       0.28
        1,2   |          1       0.14       0.14       0.42
        1,2,5 |          1       0.14       0.14       0.55
        1,5   |          6       0.83       0.83       1.39
        2     |          7       0.97       0.97       2.35
        2,5   |        695      96.26      96.26      98.61
        3     |          1       0.14       0.14      98.75
        4     |          1       0.14       0.14      98.89
        5     |          8       1.11       1.11     100.00
        Total |        722     100.00     100.00           
-----------------------------------------------------------

. gen failcheck = 0

. replace failcheck = 1 if attention != "2,5"
(27 real changes made)

. 
. 
. * Raname treatment variables and generate treatment variable
. rename timer_t_FirstClick treatfirstclick

. rename timer_t_PageSubmit treatpagesubmit

. 
. 
. 
. destring treatfirstclick, replace
treatfirstclick already numeric; no replace

. 
. 
. gen treatment = .
(722 missing values generated)

. replace treatment = 1 if treatfirstclick != .
(361 real changes made)

. replace treatment = 0 if treatfirstclick == .
(361 real changes made)

. 
. 
. 
. 
. * ··················· Table 1 Appendix: Attention Check ····························· *
. 
. * Check if they are more likely to fail the attention check depending on 
. * treatment status.
. regr failcheck treatment, r

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.35
                                                Prob > F          =     0.5569
                                                R-squared         =     0.0005
                                                Root MSE          =     .18995

------------------------------------------------------------------------------
             |               Robust
   failcheck |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0083102   .0141383    -0.59   0.557    -.0360674    .0194469
       _cons |   .0415512   .0105178     3.95   0.000      .020902    .0622005
------------------------------------------------------------------------------

. * NO RELATION
. 
. 
. * ··························  OUTCOME VARIABLES ······························ *
. * Original questionnaire in German in Appendix
. 
. * Emotion variables
. rename emotions_1 anger 

. rename emotions_2 joy

. rename emotions_3 fear

. rename emotions_4 pride

. rename emotions_5 sadness

. rename emotions_6 disgust 

. rename emotions_7 hostility

. 
. 
. 
. * Coworkers 
. rename minorities_1 disabled

. rename minorities_2 jewish

. rename minorities_3 asian

. rename minorities_4 black

. rename minorities_5 lgb

. rename minorities_6 muslim

. rename minorities_7 intersex

. rename minorities_8 trans

. rename minorities_9 roma

. rename minorities_10 witness

. 
. 
. * Refugees
. rename refugees_1 refrights

. rename refugees_2 refterror

. rename refugees_3 refcrime

. rename refugees_4 refmoney

. 
. * Inversion of variables indicate negative perceptions about refugees so they go in the same directon as refrights
. gen refterror_inv = 6-refterror

. tab refterror_inv refterror

refterror_ |                       refugees_2
       inv |         1          2          3          4          5 |     Total
-----------+-------------------------------------------------------+----------
         1 |         0          0          0          0        260 |       260 
         2 |         0          0          0        261          0 |       261 
         3 |         0          0        109          0          0 |       109 
         4 |         0         69          0          0          0 |        69 
         5 |        23          0          0          0          0 |        23 
-----------+-------------------------------------------------------+----------
     Total |        23         69        109        261        260 |       722 

. gen refcrime_inv =  6 - refcrime

. tab refcrime_inv refcrime

refcrime_i |                       refugees_3
        nv |         1          2          3          4          5 |     Total
-----------+-------------------------------------------------------+----------
         1 |         0          0          0          0        252 |       252 
         2 |         0          0          0        205          0 |       205 
         3 |         0          0        148          0          0 |       148 
         4 |         0         97          0          0          0 |        97 
         5 |        20          0          0          0          0 |        20 
-----------+-------------------------------------------------------+----------
     Total |        20         97        148        205        252 |       722 

. gen refmoney_inv = 6 - refmoney

. tab refmoney_inv refmoney

refmoney_i |                       refugees_4
        nv |         1          2          3          4          5 |     Total
-----------+-------------------------------------------------------+----------
         1 |         0          0          0          0        299 |       299 
         2 |         0          0          0        236          0 |       236 
         3 |         0          0        119          0          0 |       119 
         4 |         0         46          0          0          0 |        46 
         5 |        22          0          0          0          0 |        22 
-----------+-------------------------------------------------------+----------
     Total |        22         46        119        236        299 |       722 

. 
. * Democracy
. tab democracy, gen (democracy_)

  democracy |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        609       84.35       84.35
          2 |         59        8.17       92.52
          3 |         22        3.05       95.57
          4 |         32        4.43      100.00
------------+-----------------------------------
      Total |        722      100.00

. 
. gen prodemo = 0

. replace prodemo = 1 if democracy== 1
(609 real changes made)

. 
. 
. * Create varaiable for total donation *
. *Var behavior: 1 keep100, 2donate x, 3donate100
. 
. *check  if there are any non numeric values in quantity.
. tab behavior_2_TEXT

behavior_2_ |
       TEXT |      Freq.     Percent        Cum.
------------+-----------------------------------
          2 |          1        0.24        0.24
          5 |         10        2.42        2.66
          7 |          1        0.24        2.91
          8 |          1        0.24        3.15
         10 |         30        7.26       10.41
         14 |          1        0.24       10.65
         15 |          6        1.45       12.11
       18.7 |          1        0.24       12.35
         20 |         51       12.35       24.70
         25 |         29        7.02       31.72
         30 |         27        6.54       38.26
         33 |          2        0.48       38.74
         35 |          4        0.97       39.71
         40 |         11        2.66       42.37
         50 |        199       48.18       90.56
         55 |          1        0.24       90.80
         60 |          5        1.21       92.01
         65 |          1        0.24       92.25
         70 |          8        1.94       94.19
         75 |          7        1.69       95.88
         80 |          9        2.18       98.06
         85 |          1        0.24       98.31
         90 |          3        0.73       99.03
         95 |          1        0.24       99.27
         99 |          2        0.48       99.76
        100 |          1        0.24      100.00
------------+-----------------------------------
      Total |        413      100.00

. 
. *n partial donors*
. gen quantity = behavior_2_TEXT 
(309 missing values generated)

. 
. * behavior 1= keep 100, 2 give X, 3 give 100
. replace quantity = 100 if behavior == 3
(96 real changes made)

. replace quantity = 0 if behavior == 1
(213 real changes made)

. 
. 
. *Dummy variable for whether respondent donated or not*
. gen donationyn = 0

. replace donationyn = 1 if quantity!= 0
(509 real changes made)

. 
. tab  behavior donationyn

           |      donationyn
  behavior |         0          1 |     Total
-----------+----------------------+----------
         1 |       213          0 |       213 
         2 |         0        413 |       413 
         3 |         0         96 |        96 
-----------+----------------------+----------
     Total |       213        509 |       722 

. tab  quantity donationyn

           |      donationyn
  quantity |         0          1 |     Total
-----------+----------------------+----------
         0 |       213          0 |       213 
         2 |         0          1 |         1 
         5 |         0         10 |        10 
         7 |         0          1 |         1 
         8 |         0          1 |         1 
        10 |         0         30 |        30 
        14 |         0          1 |         1 
        15 |         0          6 |         6 
      18.7 |         0          1 |         1 
        20 |         0         51 |        51 
        25 |         0         29 |        29 
        30 |         0         27 |        27 
        33 |         0          2 |         2 
        35 |         0          4 |         4 
        40 |         0         11 |        11 
        50 |         0        199 |       199 
        55 |         0          1 |         1 
        60 |         0          5 |         5 
        65 |         0          1 |         1 
        70 |         0          8 |         8 
        75 |         0          7 |         7 
        80 |         0          9 |         9 
        85 |         0          1 |         1 
        90 |         0          3 |         3 
        95 |         0          1 |         1 
        99 |         0          2 |         2 
       100 |         0         97 |        97 
-----------+----------------------+----------
     Total |       213        509 |       722 

. 
. 
. * Vote intention
. label define vote 1 "SPD" ///
> 2 "CDU/CSU" ///
> 3 "Die Grünen" /// 
> 4 "FDP" ///
> 5 "Die Linke" ///
> 6 "AfD" ///
> 7 "Andere Partei" ///
> 8 "Würde einen leeren Stimmzettel abgeben" /// 
> 9 "Würde den Stimmzettel ungültig machen" ///
> 10 "Würde keine Stimme abgeben" ///
> 11 "Weiß nicht"  

. 
. label values vote vote 

. 
. tab vote, gen (vote_)

                                  vote |      Freq.     Percent        Cum.
---------------------------------------+-----------------------------------
                                   SPD |         64        8.86        8.86
                               CDU/CSU |         20        2.77       11.63
                            Die Grünen |        332       45.98       57.62
                                   FDP |         68        9.42       67.04
                             Die Linke |         85       11.77       78.81
                                   AfD |         14        1.94       80.75
                         Andere Partei |         70        9.70       90.44
Würde einen leeren Stimmzettel abgeben |          3        0.42       90.86
 Würde den Stimmzettel ungültig machen |          6        0.83       91.69
            Würde keine Stimme abgeben |         28        3.88       95.57
                            Weiß nicht |         32        4.43      100.00
---------------------------------------+-----------------------------------
                                 Total |        722      100.00

. 
. save stones.dta, replace
(note: file stones.dta not found)
file stones.dta saved

. 
. 
. 
. 
. 
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. * ············································································ *
.                     * Figure B1 Appendix: T&C PRE-T BALANCE *                          
. * ············································································ *
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. 
. 
. * Load your main data
. use stones.dta, clear

. 
. * Define covariates
. local covars woman age_1 age_2 age_3 age_4 age_5 age_6 religious otherminoritydummy ethnicminority raceminoritymajority ///
>     ideoscale state_1 state_2 state_3 state_4 state_5 state_6 polint_1 polint_2 polint_3 polint_4 ///
>     income_1 income_2 income_3 income_4 income_5 income_6 income_7 ///
>     edu_2 edu_3 edu_4 edu_5 edu_6 ///
>     state_7 state_8 state_9 state_10 state_11 state_12 state_13 state_14 state_15 state_16 failcheck

. 
. * First regression: create (replace) file
. local first = 1

. 
. foreach covar of local covars {
  2.     
.     regress `covar' treatment, r
  3. 
.     if `first' {
  4.         regsave treatment using covariate_test.dta, ci pval tstat level(95) replace addlabel(Covariate, `covar')
  5.         local first = 0
  6.     }
  7.     else {
  8.         regsave treatment using covariate_test.dta, ci pval tstat level(95) append addlabel(Covariate, `covar')
  9.     }
 10. }

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.27
                                                Prob > F          =     0.6026
                                                R-squared         =     0.0004
                                                Root MSE          =     .50011

------------------------------------------------------------------------------
             |               Robust
       woman |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0193906   .0372242    -0.52   0.603    -.0924715    .0536903
       _cons |   .4875346   .0263441    18.51   0.000     .4358142    .5392551
------------------------------------------------------------------------------
(note: file covariate_test.dta not found)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.54
                                                Prob > F          =     0.2149
                                                R-squared         =     0.0021
                                                Root MSE          =     .44971

------------------------------------------------------------------------------
             |               Robust
       age_1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0415512    .033473    -1.24   0.215    -.1072675     .024165
       _cons |   .3019391   .0241966    12.48   0.000     .2544347    .3494435
------------------------------------------------------------------------------
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.01
                                                Prob > F          =     0.9404
                                                R-squared         =     0.0000
                                                Root MSE          =     .49729

------------------------------------------------------------------------------
             |               Robust
       age_2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0027701   .0370146    -0.07   0.940    -.0754395    .0698993
       _cons |   .4432133   .0261818    16.93   0.000     .3918115    .4946151
------------------------------------------------------------------------------
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.76
                                                Prob > F          =     0.3826
                                                R-squared         =     0.0011
                                                Root MSE          =      .3834

------------------------------------------------------------------------------
             |               Robust
       age_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0249307   .0285377     0.87   0.383    -.0310963    .0809578
       _cons |    .166205   .0196201     8.47   0.000     .1276856    .2047244
------------------------------------------------------------------------------
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.24
                                                Prob > F          =     0.6219
                                                R-squared         =     0.0003
                                                Root MSE          =     .22633

------------------------------------------------------------------------------
             |               Robust
       age_4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0083102    .016846     0.49   0.622    -.0247628    .0413833
       _cons |   .0498615   .0114716     4.35   0.000     .0273397    .0723833
------------------------------------------------------------------------------
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.16
                                                Prob > F          =     0.6900
                                                R-squared         =     0.0002
                                                Root MSE          =     .18656

------------------------------------------------------------------------------
             |               Robust
       age_5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0055402   .0138858     0.40   0.690    -.0217213    .0328016
       _cons |    .033241   .0094481     3.52   0.000     .0146919    .0517901
------------------------------------------------------------------------------
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.67
                                                Prob > F          =     0.4130
                                                R-squared         =     0.0009
                                                Root MSE          =     .09086

------------------------------------------------------------------------------
             |               Robust
       age_6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0055402   .0067633     0.82   0.413    -.0077379    .0188182
       _cons |   .0055402    .003912     1.42   0.157    -.0021402    .0132205
------------------------------------------------------------------------------
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.01
                                                Prob > F          =     0.9261
                                                R-squared         =     0.0000
                                                Root MSE          =     .40118

------------------------------------------------------------------------------
             |               Robust
   religious |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0027701   .0298604     0.09   0.926    -.0558538     .061394
       _cons |    .199446   .0210599     9.47   0.000     .1580998    .2407922
------------------------------------------------------------------------------
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.11
                                                Prob > F          =     0.7421
                                                R-squared         =     0.0002
                                                Root MSE          =     .45216

------------------------------------------------------------------------------
             |               Robust
othermino~my |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0110803   .0336552    -0.33   0.742    -.0771544    .0549937
       _cons |   .2908587   .0239363    12.15   0.000     .2438655    .3378519
------------------------------------------------------------------------------
file covariate_test.dta saved

Linear regression                               Number of obs     =        712
                                                F(1, 710)         =       4.67
                                                Prob > F          =     0.0310
                                                R-squared         =     0.0065
                                                Root MSE          =     .22711

------------------------------------------------------------------------------
             |               Robust
ethnicmino~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0368249   .0170382    -2.16   0.031    -.0702762   -.0033735
       _cons |   .0732394   .0138469     5.29   0.000     .0460536    .1004252
------------------------------------------------------------------------------
(note: variable Covariate was str14, now str18 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       7.94
                                                Prob > F          =     0.0050
                                                R-squared         =     0.0109
                                                Root MSE          =     .30386

------------------------------------------------------------------------------
             |               Robust
raceminori~y |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0637119   .0226167     2.82   0.005     .0193094    .1081145
       _cons |   1.864266   .0180516   103.27   0.000     1.828826    1.899706
------------------------------------------------------------------------------
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.55
                                                Prob > F          =     0.2142
                                                R-squared         =     0.0021
                                                Root MSE          =     1.7362

------------------------------------------------------------------------------
             |               Robust
   ideoscale |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1606648   .1292285     1.24   0.214    -.0930449    .4143745
       _cons |   3.465374   .0906449    38.23   0.000     3.287414    3.643334
------------------------------------------------------------------------------
(note: variable Covariate was str9, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.64
                                                Prob > F          =     0.4243
                                                R-squared         =     0.0009
                                                Root MSE          =     .32585

------------------------------------------------------------------------------
             |               Robust
     state_1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0193906   .0242538    -0.80   0.424    -.0670073    .0282261
       _cons |   .1301939    .017736     7.34   0.000     .0953735    .1650143
------------------------------------------------------------------------------
(note: variable Covariate was str7, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.01
                                                Prob > F          =     0.9063
                                                R-squared         =     0.0000
                                                Root MSE          =     .31603

------------------------------------------------------------------------------
             |               Robust
     state_2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0027701   .0235231    -0.12   0.906    -.0489521    .0434119
       _cons |   .1135734   .0167228     6.79   0.000     .0807422    .1464046
------------------------------------------------------------------------------
(note: variable Covariate was str7, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.00
                                                Prob > F          =     1.0000
                                                R-squared         =     0.0000
                                                Root MSE          =     .21796

------------------------------------------------------------------------------
             |               Robust
     state_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   1.19e-18   .0162233     0.00   1.000    -.0318507    .0318507
       _cons |   .0498615   .0114716     4.35   0.000     .0273397    .0723833
------------------------------------------------------------------------------
(note: variable pval was byte, now float to accommodate using data's values)
(note: variable r2 was byte, now float to accommodate using data's values)
(note: variable Covariate was str7, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.05
                                                Prob > F          =     0.8250
                                                R-squared         =     0.0001
                                                Root MSE          =     .16827

------------------------------------------------------------------------------
             |               Robust
     state_4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0027701   .0125251    -0.22   0.825    -.0273601      .02182
       _cons |   .0304709   .0090588     3.36   0.001      .012686    .0482558
------------------------------------------------------------------------------
(note: variable Covariate was str7, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.70
                                                Prob > F          =     0.4018
                                                R-squared         =     0.0010
                                                Root MSE          =     .13309

------------------------------------------------------------------------------
             |               Robust
     state_5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0083102   .0099062    -0.84   0.402    -.0277588    .0111383
       _cons |   .0221607   .0077584     2.86   0.004     .0069288    .0373925
------------------------------------------------------------------------------
(note: variable Covariate was str7, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       2.05
                                                Prob > F          =     0.1525
                                                R-squared         =     0.0028
                                                Root MSE          =     .15591

------------------------------------------------------------------------------
             |               Robust
     state_6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0166205   .0116046    -1.43   0.153    -.0394035    .0061625
       _cons |    .033241   .0094481     3.52   0.000     .0146919    .0517901
------------------------------------------------------------------------------
(note: variable Covariate was str7, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.72
                                                Prob > F          =     0.3963
                                                R-squared         =     0.0010
                                                Root MSE          =     .39463

------------------------------------------------------------------------------
             |               Robust
    polint_1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0249307   .0293732    -0.85   0.396    -.0825981    .0327366
       _cons |   .2049861   .0212764     9.63   0.000     .1632149    .2467574
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.79
                                                Prob > F          =     0.1808
                                                R-squared         =     0.0025
                                                Root MSE          =     .50005

------------------------------------------------------------------------------
             |               Robust
    polint_2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0498615   .0372202     1.34   0.181    -.0232115    .1229345
       _cons |   .4709141   .0263077    17.90   0.000     .4192652    .5225631
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.53
                                                Prob > F          =     0.2163
                                                R-squared         =     0.0021
                                                Root MSE          =     .45105

------------------------------------------------------------------------------
             |               Robust
    polint_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0415512   .0335728    -1.24   0.216    -.1074635     .024361
       _cons |   .3047091   .0242591    12.56   0.000     .2570821    .3523362
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.85
                                                Prob > F          =     0.1741
                                                R-squared         =     0.0026
                                                Root MSE          =     .16413

------------------------------------------------------------------------------
             |               Robust
    polint_4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0166205   .0122167     1.36   0.174     -.007364     .040605
       _cons |   .0193906   .0072676     2.67   0.008     .0051223    .0336588
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        720
                                                F(1, 718)         =       0.15
                                                Prob > F          =     0.7022
                                                R-squared         =     0.0002
                                                Root MSE          =      .3897

------------------------------------------------------------------------------
             |               Robust
    income_1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0111111   .0290464    -0.38   0.702    -.0681371    .0459149
       _cons |   .1916667   .0207741     9.23   0.000     .1508815    .2324518
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        720
                                                F(1, 718)         =       0.78
                                                Prob > F          =     0.3769
                                                R-squared         =     0.0011
                                                Root MSE          =      .3372

------------------------------------------------------------------------------
             |               Robust
    income_2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0222222   .0251333     0.88   0.377    -.0271214    .0715658
       _cons |   .1194444   .0171165     6.98   0.000     .0858401    .1530488
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        720
                                                F(1, 718)         =       3.23
                                                Prob > F          =     0.0728
                                                R-squared         =     0.0045
                                                Root MSE          =     .35264

------------------------------------------------------------------------------
             |               Robust
    income_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0472222   .0262841    -1.80   0.073    -.0988251    .0043807
       _cons |   .1694444   .0197993     8.56   0.000     .1305729     .208316
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        720
                                                F(1, 718)         =       0.88
                                                Prob > F          =     0.3488
                                                R-squared         =     0.0012
                                                Root MSE          =     .43729

------------------------------------------------------------------------------
             |               Robust
    income_4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0305556   .0325936    -0.94   0.349    -.0945457    .0334346
       _cons |   .2722222   .0234917    11.59   0.000     .2261016    .3183428
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        720
                                                F(1, 718)         =       0.89
                                                Prob > F          =     0.3464
                                                R-squared         =     0.0012
                                                Root MSE          =     .35598

------------------------------------------------------------------------------
             |               Robust
    income_5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |       .025   .0265332     0.94   0.346    -.0270919    .0770919
       _cons |   .1361111   .0180979     7.52   0.000       .10058    .1716423
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        720
                                                F(1, 718)         =       1.87
                                                Prob > F          =     0.1713
                                                R-squared         =     0.0026
                                                Root MSE          =     .27218

------------------------------------------------------------------------------
             |               Robust
    income_6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0277778   .0202867     1.37   0.171    -.0120506    .0676062
       _cons |   .0666667   .0131651     5.06   0.000     .0408199    .0925134
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        720
                                                F(1, 718)         =       0.71
                                                Prob > F          =     0.3994
                                                R-squared         =     0.0010
                                                Root MSE          =     .22099

------------------------------------------------------------------------------
             |               Robust
    income_7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0138889   .0164714     0.84   0.399    -.0184491    .0462268
       _cons |   .0444444   .0108765     4.09   0.000     .0230909     .065798
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.01
                                                Prob > F          =     0.3150
                                                R-squared         =     0.0014
                                                Root MSE          =      .2961

------------------------------------------------------------------------------
             |               Robust
       edu_2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0221607   .0220391    -1.01   0.315    -.0654293     .021108
       _cons |   .1080332   .0163607     6.60   0.000     .0759129    .1401536
------------------------------------------------------------------------------
(note: variable Covariate was str5, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.00
                                                Prob > F          =     1.0000
                                                R-squared         =     0.0000
                                                Root MSE          =      .4807

------------------------------------------------------------------------------
             |               Robust
       edu_3 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -2.15e-18   .0357795    -0.00   1.000    -.0702446    .0702446
       _cons |   .3601108   .0252999    14.23   0.000     .3104404    .4097812
------------------------------------------------------------------------------
(note: variable pval was byte, now float to accommodate using data's values)
(note: variable Covariate was str5, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.34
                                                Prob > F          =     0.5605
                                                R-squared         =     0.0005
                                                Root MSE          =     .44734

------------------------------------------------------------------------------
             |               Robust
       edu_4 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0193906   .0332967    -0.58   0.561    -.0847609    .0459797
       _cons |   .2853186   .0237996    11.99   0.000     .2385936    .3320435
------------------------------------------------------------------------------
(note: variable Covariate was str5, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.20
                                                Prob > F          =     0.6525
                                                R-squared         =     0.0003
                                                Root MSE          =     .41303

------------------------------------------------------------------------------
             |               Robust
       edu_5 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0138504   .0307425     0.45   0.652    -.0465053    .0742061
       _cons |   .2105263   .0214868     9.80   0.000     .1683421    .2527105
------------------------------------------------------------------------------
(note: variable Covariate was str5, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       4.32
                                                Prob > F          =     0.0379
                                                R-squared         =     0.0060
                                                Root MSE          =     .17898

------------------------------------------------------------------------------
             |               Robust
       edu_6 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0277008   .0133217     2.08   0.038     .0015468    .0538549
       _cons |   .0193906   .0072676     2.67   0.008     .0051223    .0336588
------------------------------------------------------------------------------
(note: variable Covariate was str5, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       2.86
                                                Prob > F          =     0.0912
                                                R-squared         =     0.0040
                                                Root MSE          =     .28605

------------------------------------------------------------------------------
             |               Robust
     state_7 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0360111   .0212914    -1.69   0.091    -.0778118    .0057896
       _cons |   .1080332   .0163607     6.60   0.000     .0759129    .1401536
------------------------------------------------------------------------------
(note: variable Covariate was str7, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.00
                                                Prob > F          =     1.0000
                                                R-squared         =     0.0000
                                                Root MSE          =     .09091

------------------------------------------------------------------------------
             |               Robust
     state_8 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -1.73e-18   .0067664    -0.00   1.000    -.0132843    .0132843
       _cons |   .0083102   .0047846     1.74   0.083    -.0010831    .0177036
------------------------------------------------------------------------------
(note: variable pval was byte, now float to accommodate using data's values)
(note: variable r2 was byte, now float to accommodate using data's values)
(note: variable Covariate was str7, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.04
                                                Prob > F          =     0.3087
                                                R-squared         =     0.0014
                                                Root MSE          =     .29228

------------------------------------------------------------------------------
             |               Robust
     state_9 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0221607   .0217549     1.02   0.309      -.02055    .0648713
       _cons |   .0831025   .0145484     5.71   0.000     .0545401    .1116649
------------------------------------------------------------------------------
(note: variable Covariate was str7, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.46
                                                Prob > F          =     0.4982
                                                R-squared         =     0.0006
                                                Root MSE          =     .43932

------------------------------------------------------------------------------
             |               Robust
    state_10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0221607   .0326992     0.68   0.498    -.0420366    .0863579
       _cons |   .2493075   .0228007    10.93   0.000     .2045438    .2940712
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.33
                                                Prob > F          =     0.2497
                                                R-squared         =     0.0018
                                                Root MSE          =     .22616

------------------------------------------------------------------------------
             |               Robust
    state_11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0193906   .0168333     1.15   0.250    -.0136576    .0524388
       _cons |   .0443213    .010847     4.09   0.000     .0230257    .0656169
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.62
                                                Prob > F          =     0.2033
                                                R-squared         =     0.0022
                                                Root MSE          =      .1169

------------------------------------------------------------------------------
             |               Robust
    state_12 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0110803   .0087012     1.27   0.203    -.0060024     .028163
       _cons |   .0083102   .0047846     1.74   0.083    -.0010831    .0177036
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.16
                                                Prob > F          =     0.6900
                                                R-squared         =     0.0002
                                                Root MSE          =     .18656

------------------------------------------------------------------------------
             |               Robust
    state_13 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0055402   .0138858     0.40   0.690    -.0217213    .0328016
       _cons |    .033241   .0094481     3.52   0.000     .0146919    .0517901
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.16
                                                Prob > F          =     0.2810
                                                R-squared         =     0.0016
                                                Root MSE          =     .13797

------------------------------------------------------------------------------
             |               Robust
    state_14 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0110803   .0102697     1.08   0.281    -.0090817    .0312424
       _cons |   .0138504   .0061596     2.25   0.025     .0017575    .0259433
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.03
                                                Prob > F          =     0.8588
                                                R-squared         =     0.0000
                                                Root MSE          =     .20913

------------------------------------------------------------------------------
             |               Robust
    state_15 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0027701   .0155662     0.18   0.859    -.0277905    .0333307
       _cons |   .0443213    .010847     4.09   0.000     .0230257    .0656169
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.54
                                                Prob > F          =     0.4622
                                                R-squared         =     0.0008
                                                Root MSE          =     .15178

------------------------------------------------------------------------------
             |               Robust
    state_16 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0083102   .0112975    -0.74   0.462    -.0304902    .0138697
       _cons |   .0277008   .0086496     3.20   0.001     .0107194    .0446822
------------------------------------------------------------------------------
(note: variable Covariate was str8, now str20 to accommodate using data's values)
file covariate_test.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.35
                                                Prob > F          =     0.5569
                                                R-squared         =     0.0005
                                                Root MSE          =     .18995

------------------------------------------------------------------------------
             |               Robust
   failcheck |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0083102   .0141383    -0.59   0.557    -.0360674    .0194469
       _cons |   .0415512   .0105178     3.95   0.000      .020902    .0622005
------------------------------------------------------------------------------
(note: variable Covariate was str9, now str20 to accommodate using data's values)
file covariate_test.dta saved

. 
. 
. 
. save stones.dta, replace
file stones.dta saved

.  
. 
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. * ············································································ *
.                                                         * MAIN ANALYSES *                          
. * ············································································ *
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. 
. use stones.dta, clear

. 
. 
. 
. 
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. * ·····  Table 1: Coworker Means ···································· *
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. 
. 
. clear

. gen variable = .

. save coworkers_means.dta, replace
(note: dataset contains 0 observations)
(note: file coworkers_means.dta not found)
file coworkers_means.dta saved

. use stones.dta, clear

. 
. 
. 
. local coworkers disabled jewish asian black lgb muslim intersex trans roma witness 

. foreach coworker in `coworkers'{
  2.         mean `coworker' 
  3.         regsave `coworker' using "coworkers_means.dta", ci pval tstat level(95) append addlabel (Group, all)
  4. }

Mean estimation                   Number of obs   =        722

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
    disabled |   8.563712    .069072      8.428106    8.699318
--------------------------------------------------------------
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        722

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
      jewish |   9.506925   .0493632      9.410012    9.603838
--------------------------------------------------------------
(note: variable var was str6, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        722

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       asian |   9.560942   .0439565      9.474644     9.64724
--------------------------------------------------------------
(note: variable var was str5, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        722

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       black |   9.403047   .0539956       9.29704    9.509055
--------------------------------------------------------------
(note: variable var was str5, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        722

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
         lgb |   9.397507   .0552129       9.28911    9.505904
--------------------------------------------------------------
(note: variable var was str3, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        722

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
      muslim |   8.961219    .068392      8.826947     9.09549
--------------------------------------------------------------
(note: variable var was str6, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        722

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
    intersex |   9.054017   .0664254      8.923606    9.184427
--------------------------------------------------------------
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        722

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       trans |   8.850416   .0734953      8.706125    8.994706
--------------------------------------------------------------
(note: variable var was str5, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        722

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
        roma |   8.817175   .0743014      8.671302    8.963047
--------------------------------------------------------------
(note: variable var was str4, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        722

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
     witness |    6.65374   .1022775      6.452942    6.854537
--------------------------------------------------------------
(note: variable var was str7, now str8 to accommodate using data's values)
file coworkers_means.dta saved

. 
. local coworkers disabled jewish asian black lgb muslim intersex trans roma witness 

. foreach coworker in `coworkers'{
  2.         mean `coworker' if treatment == 0
  3.         regsave `coworker' using "coworkers_means.dta", ci pval tstat level(95) append addlabel (Group, control)
  4. }

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
    disabled |   8.495845   .1001785      8.298836    8.692853
--------------------------------------------------------------
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
      jewish |   9.518006   .0701827      9.379986    9.656025
--------------------------------------------------------------
(note: variable var was str6, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       asian |   9.595568    .060834      9.475933    9.715203
--------------------------------------------------------------
(note: variable var was str5, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       black |   9.454294   .0725209      9.311676    9.596911
--------------------------------------------------------------
(note: variable var was str5, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
         lgb |   9.457064   .0742037      9.311137    9.602991
--------------------------------------------------------------
(note: variable var was str3, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
      muslim |    9.00277   .0949234      8.816096    9.189444
--------------------------------------------------------------
(note: variable var was str6, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
    intersex |   9.099723    .094167      8.914537    9.284909
--------------------------------------------------------------
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       trans |   8.850416   .1054794      8.642982    9.057849
--------------------------------------------------------------
(note: variable var was str5, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
        roma |   8.819945   .1063285      8.610841    9.029048
--------------------------------------------------------------
(note: variable var was str4, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
     witness |   6.470914   .1500986      6.175734    6.766094
--------------------------------------------------------------
(note: variable var was str7, now str8 to accommodate using data's values)
file coworkers_means.dta saved

. 
. local coworkers disabled jewish asian black lgb muslim intersex trans roma witness 

. foreach coworker in `coworkers'{
  2.         mean `coworker' if treatment == 1
  3.         regsave `coworker' using "coworkers_means.dta", ci pval tstat level(95) append addlabel (Group, treatment)
  4. 
. }

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
    disabled |   8.631579   .0951259      8.444507    8.818651
--------------------------------------------------------------
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
      jewish |   9.495845   .0695279      9.359113    9.632577
--------------------------------------------------------------
(note: variable var was str6, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       asian |   9.526316   .0634981      9.401442     9.65119
--------------------------------------------------------------
(note: variable var was str5, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       black |   9.351801   .0800278       9.19442    9.509181
--------------------------------------------------------------
(note: variable var was str5, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
         lgb |    9.33795   .0817613       9.17716     9.49874
--------------------------------------------------------------
(note: variable var was str3, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
      muslim |   8.919668    .098569      8.725824    9.113511
--------------------------------------------------------------
(note: variable var was str6, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
    intersex |    9.00831   .0937807      8.823883    9.192737
--------------------------------------------------------------
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       trans |   8.850416   .1025199      8.648802    9.052029
--------------------------------------------------------------
(note: variable var was str5, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
        roma |   8.814404     .10396      8.609959     9.01885
--------------------------------------------------------------
(note: variable var was str4, now str8 to accommodate using data's values)
file coworkers_means.dta saved

Mean estimation                   Number of obs   =        361

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
     witness |   6.836565    .138512      6.564171    7.108959
--------------------------------------------------------------
(note: variable var was str7, now str8 to accommodate using data's values)
file coworkers_means.dta saved

. 
. save stones.dta, replace
file stones.dta saved

. 
. use coworkers_means.dta, clear

. drop variable

. 
. 
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. * ····· Table 1: unstandardized ATE ···································· *
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. clear

. gen variable = .

. save coworkers.dta, replace
(note: dataset contains 0 observations)
(note: file coworkers.dta not found)
file coworkers.dta saved

. use stones.dta, clear

. 
. 
. 
. * Local with all variables
. local coworkers disabled jewish asian black lgb muslim intersex trans roma witness

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment, r
  3.         regsave treatment using "coworkers.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, Cont
> rols, 0)
  4. }

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.97
                                                Prob > F          =     0.3262
                                                R-squared         =     0.0013
                                                Root MSE          =      1.856

------------------------------------------------------------------------------
             |               Robust
    disabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1357341   .1381473     0.98   0.326    -.1354855    .4069537
       _cons |   8.495845   .1001785    84.81   0.000     8.299168    8.692522
------------------------------------------------------------------------------
file coworkers.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.05
                                                Prob > F          =     0.8226
                                                R-squared         =     0.0001
                                                Root MSE          =     1.3273

------------------------------------------------------------------------------
             |               Robust
      jewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0221607   .0987914    -0.22   0.823    -.2161144     .171793
       _cons |   9.518006   .0701827   135.62   0.000     9.380218    9.655793
------------------------------------------------------------------------------
(note: variable Var was str6, now str8 to accommodate using data's values)
file coworkers.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.62
                                                Prob > F          =     0.4312
                                                R-squared         =     0.0009
                                                Root MSE          =     1.1814

------------------------------------------------------------------------------
             |               Robust
       asian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0692521   .0879363    -0.79   0.431    -.2418942      .10339
       _cons |   9.595568    .060834   157.73   0.000     9.476135    9.715001
------------------------------------------------------------------------------
(note: variable Var was str5, now str8 to accommodate using data's values)
file coworkers.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.90
                                                Prob > F          =     0.3429
                                                R-squared         =     0.0012
                                                Root MSE          =      1.451

------------------------------------------------------------------------------
             |               Robust
       black |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1024931   .1079987    -0.95   0.343    -.3145231    .1095369
       _cons |   9.454294   .0725209   130.37   0.000     9.311916    9.596671
------------------------------------------------------------------------------
(note: variable Var was str5, now str8 to accommodate using data's values)
file coworkers.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.16
                                                Prob > F          =     0.2810
                                                R-squared         =     0.0016
                                                Root MSE          =     1.4834

------------------------------------------------------------------------------
             |               Robust
         lgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1191136   .1104133    -1.08   0.281     -.335884    .0976569
       _cons |   9.457064   .0742037   127.45   0.000     9.311382    9.602745
------------------------------------------------------------------------------
(note: variable Var was str3, now str8 to accommodate using data's values)
file coworkers.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.37
                                                Prob > F          =     0.5439
                                                R-squared         =     0.0005
                                                Root MSE          =     1.8385

------------------------------------------------------------------------------
             |               Robust
      muslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0831025    .136844    -0.61   0.544    -.3517634    .1855585
       _cons |    9.00277   .0949234    94.84   0.000      8.81641     9.18913
------------------------------------------------------------------------------
(note: variable Var was str6, now str8 to accommodate using data's values)
file coworkers.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.47
                                                Prob > F          =     0.4918
                                                R-squared         =     0.0007
                                                Root MSE          =     1.7855

------------------------------------------------------------------------------
             |               Robust
    intersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0914127   .1328994    -0.69   0.492    -.3523293    .1695038
       _cons |   9.099723    .094167    96.63   0.000     8.914848    9.284598
------------------------------------------------------------------------------
file coworkers.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.00
                                                Prob > F          =     1.0000
                                                R-squared         =     0.0000
                                                Root MSE          =     1.9762

------------------------------------------------------------------------------
             |               Robust
       trans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -4.43e-17   .1470926    -0.00   1.000    -.2887816    .2887816
       _cons |   8.850416   .1054794    83.91   0.000     8.643332    9.057499
------------------------------------------------------------------------------
(note: variable pval was byte, now float to accommodate using data's values)
(note: variable Var was str5, now str8 to accommodate using data's values)
file coworkers.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.00
                                                Prob > F          =     0.9703
                                                R-squared         =     0.0000
                                                Root MSE          =     1.9979

------------------------------------------------------------------------------
             |               Robust
        roma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0055402   .1487059    -0.04   0.970    -.2974891    .2864087
       _cons |   8.819945   .1063285    82.95   0.000     8.611194    9.028696
------------------------------------------------------------------------------
(note: variable Var was str4, now str8 to accommodate using data's values)
file coworkers.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       3.21
                                                Prob > F          =     0.0738
                                                R-squared         =     0.0044
                                                Root MSE          =      2.744

------------------------------------------------------------------------------
             |               Robust
     witness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .365651   .2042429     1.79   0.074    -.0353318    .7666337
       _cons |   6.470914   .1500986    43.11   0.000     6.176231    6.765597
------------------------------------------------------------------------------
(note: variable Var was str7, now str8 to accommodate using data's values)
file coworkers.dta saved

. 
. 
. 
. save stones.dta, replace
file stones.dta saved

. 
. 
. use coworkers.dta, clear

. drop variable

. 
. gen var2 = .
(10 missing values generated)

. replace var2 = 1 if Var== "disabled"
(1 real change made)

. replace var2 = 2 if Var== "jewish"
(1 real change made)

. replace var2 = 3 if Var== "asian"
(1 real change made)

. replace var2 = 4 if Var== "black"
(1 real change made)

. replace var2 = 5 if Var== "lgb"
(1 real change made)

. replace var2 = 6 if Var== "muslim"
(1 real change made)

. replace var2 = 7 if Var== "intersex"
(1 real change made)

. replace var2 = 8 if Var== "trans"
(1 real change made)

. replace var2 = 9 if Var== "roma"
(1 real change made)

. replace var2 = 10 if Var== "witness"
(1 real change made)

. 
. tab var2

       var2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          1       10.00       10.00
          2 |          1       10.00       20.00
          3 |          1       10.00       30.00
          4 |          1       10.00       40.00
          5 |          1       10.00       50.00
          6 |          1       10.00       60.00
          7 |          1       10.00       70.00
          8 |          1       10.00       80.00
          9 |          1       10.00       90.00
         10 |          1       10.00      100.00
------------+-----------------------------------
      Total |         10      100.00

. 
. save coworkers.dta, replace
file coworkers.dta saved

. 
. 
. 
. 
. 
. * ··························  Table 3 Appendix ······························· *
. 
. 
. * T- Test Jehova's Witness vs else *
. 
. clear

. gen variable = .

. save jehovas.dta, replace
(note: dataset contains 0 observations)
(note: file jehovas.dta not found)
file jehovas.dta saved

. use stones.dta, clear

. 
. putexcel set "jehovas.xlsx",  replace
Note: file will be replaced when the first putexcel command is issued

. local minorities disabled jewish asian black lgb muslim intersex trans roma

. estimates clear

. local row = 2

. foreach minority in `minorities'{
  2.         ttest `minority' == witness if treatment == 0
  3.         putexcel A`row'=("`minority'")
  4.         putexcel B`row'= (r(t))
  5.         putexcel C`row'= (r(mu_1) - r(mu_2))
  6.         local ++row
  7.         
. }

Paired t test
------------------------------------------------------------------------------
Variable |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
disabled |     361    8.495845    .1001785    1.903392    8.298836    8.692853
 witness |     361    6.470914    .1500986    2.851873    6.175734    6.766094
---------+--------------------------------------------------------------------
    diff |     361    2.024931    .1566416    2.976191    1.716883    2.332978
------------------------------------------------------------------------------
     mean(diff) = mean(disabled - witness)                        t =  12.9272
 Ho: mean(diff) = 0                              degrees of freedom =      360

 Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.0000
file jehovas.xlsx saved
file jehovas.xlsx saved
file jehovas.xlsx saved

Paired t test
------------------------------------------------------------------------------
Variable |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
  jewish |     361    9.518006    .0701827    1.333472    9.379986    9.656025
 witness |     361    6.470914    .1500986    2.851873    6.175734    6.766094
---------+--------------------------------------------------------------------
    diff |     361    3.047091    .1505146    2.859778    2.751093     3.34309
------------------------------------------------------------------------------
     mean(diff) = mean(jewish - witness)                          t =  20.2445
 Ho: mean(diff) = 0                              degrees of freedom =      360

 Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.0000
file jehovas.xlsx saved
file jehovas.xlsx saved
file jehovas.xlsx saved

Paired t test
------------------------------------------------------------------------------
Variable |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
   asian |     361    9.595568     .060834    1.155846    9.475933    9.715203
 witness |     361    6.470914    .1500986    2.851873    6.175734    6.766094
---------+--------------------------------------------------------------------
    diff |     361    3.124654     .148331    2.818289     2.83295    3.416358
------------------------------------------------------------------------------
     mean(diff) = mean(asian - witness)                           t =  21.0654
 Ho: mean(diff) = 0                              degrees of freedom =      360

 Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.0000
file jehovas.xlsx saved
file jehovas.xlsx saved
file jehovas.xlsx saved

Paired t test
------------------------------------------------------------------------------
Variable |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
   black |     361    9.454294    .0725209    1.377897    9.311676    9.596911
 witness |     361    6.470914    .1500986    2.851873    6.175734    6.766094
---------+--------------------------------------------------------------------
    diff |     361     2.98338    .1484997    2.821495    2.691344    3.275415
------------------------------------------------------------------------------
     mean(diff) = mean(black - witness)                           t =  20.0901
 Ho: mean(diff) = 0                              degrees of freedom =      360

 Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.0000
file jehovas.xlsx saved
file jehovas.xlsx saved
file jehovas.xlsx saved

Paired t test
------------------------------------------------------------------------------
Variable |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
     lgb |     361    9.457064    .0742037     1.40987    9.311137    9.602991
 witness |     361    6.470914    .1500986    2.851873    6.175734    6.766094
---------+--------------------------------------------------------------------
    diff |     361     2.98615    .1549166    2.943416    2.681494    3.290805
------------------------------------------------------------------------------
     mean(diff) = mean(lgb - witness)                             t =  19.2759
 Ho: mean(diff) = 0                              degrees of freedom =      360

 Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.0000
file jehovas.xlsx saved
file jehovas.xlsx saved
file jehovas.xlsx saved

Paired t test
------------------------------------------------------------------------------
Variable |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
  muslim |     361     9.00277    .0949234    1.803544    8.816096    9.189444
 witness |     361    6.470914    .1500986    2.851873    6.175734    6.766094
---------+--------------------------------------------------------------------
    diff |     361    2.531856    .1505577    2.860596    2.235773    2.827939
------------------------------------------------------------------------------
     mean(diff) = mean(muslim - witness)                          t =  16.8165
 Ho: mean(diff) = 0                              degrees of freedom =      360

 Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.0000
file jehovas.xlsx saved
file jehovas.xlsx saved
file jehovas.xlsx saved

Paired t test
------------------------------------------------------------------------------
Variable |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
intersex |     361    9.099723     .094167    1.789173    8.914537    9.284909
 witness |     361    6.470914    .1500986    2.851873    6.175734    6.766094
---------+--------------------------------------------------------------------
    diff |     361    2.628809    .1594528    3.029604    2.315233    2.942385
------------------------------------------------------------------------------
     mean(diff) = mean(intersex - witness)                        t =  16.4864
 Ho: mean(diff) = 0                              degrees of freedom =      360

 Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.0000
file jehovas.xlsx saved
file jehovas.xlsx saved
file jehovas.xlsx saved

Paired t test
------------------------------------------------------------------------------
Variable |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
   trans |     361    8.850416    .1054794    2.004109    8.642982    9.057849
 witness |     361    6.470914    .1500986    2.851873    6.175734    6.766094
---------+--------------------------------------------------------------------
    diff |     361    2.379501    .1595191    3.030864    2.065795    2.693208
------------------------------------------------------------------------------
     mean(diff) = mean(trans - witness)                           t =  14.9167
 Ho: mean(diff) = 0                              degrees of freedom =      360

 Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.0000
file jehovas.xlsx saved
file jehovas.xlsx saved
file jehovas.xlsx saved

Paired t test
------------------------------------------------------------------------------
Variable |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
    roma |     361    8.819945    .1063285    2.020242    8.610841    9.029048
 witness |     361    6.470914    .1500986    2.851873    6.175734    6.766094
---------+--------------------------------------------------------------------
    diff |     361     2.34903    .1521879    2.891569    2.049742    2.648319
------------------------------------------------------------------------------
     mean(diff) = mean(roma - witness)                            t =  15.4351
 Ho: mean(diff) = 0                              degrees of freedom =      360

 Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.0000
file jehovas.xlsx saved
file jehovas.xlsx saved
file jehovas.xlsx saved

.  
. 
. 
. 
. 
. * ····················  Figure 2 and Figure D2 in Appendix ······················· *
. use stones.dta, clear

. 
. pca  disabled jewish asian black lgb muslim intersex trans roma witness 

Principal components/correlation                 Number of obs    =        722
                                                 Number of comp.  =         10
                                                 Trace            =         10
    Rotation: (unrotated = principal)            Rho              =     1.0000

    --------------------------------------------------------------------------
       Component |   Eigenvalue   Difference         Proportion   Cumulative
    -------------+------------------------------------------------------------
           Comp1 |      6.48069      5.55763             0.6481       0.6481
           Comp2 |      .923057      .284438             0.0923       0.7404
           Comp3 |      .638619     .0269665             0.0639       0.8042
           Comp4 |      .611653      .183159             0.0612       0.8654
           Comp5 |      .428494      .112769             0.0428       0.9083
           Comp6 |      .315725     .0883584             0.0316       0.9398
           Comp7 |      .227366     .0757152             0.0227       0.9626
           Comp8 |      .151651      .021901             0.0152       0.9777
           Comp9 |       .12975     .0367562             0.0130       0.9907
          Comp10 |      .092994            .             0.0093       1.0000
    --------------------------------------------------------------------------

Principal components (eigenvectors) 

    --------------------------------------------------------------------------------------------------------------------------------
        Variable |    Comp1     Comp2     Comp3     Comp4     Comp5     Comp6     Comp7     Comp8     Comp9    Comp10 | Unexplained 
    -------------+----------------------------------------------------------------------------------------------------+-------------
        disabled |   0.2546    0.2034   -0.0683    0.9342   -0.0837    0.0412    0.0715    0.0391   -0.0011   -0.0344 |           0 
          jewish |   0.3450   -0.1699    0.3459    0.0337    0.0913   -0.0547   -0.5088   -0.2911    0.6080    0.0817 |           0 
           asian |   0.3238   -0.1821    0.4587   -0.0412    0.2499   -0.0464    0.7333    0.0447    0.0732    0.2003 |           0 
           black |   0.3534   -0.1325    0.3337   -0.0289   -0.0470    0.0582   -0.2209   -0.3294   -0.7235   -0.2430 |           0 
             lgb |   0.3528   -0.1952   -0.0693   -0.0441    0.2791   -0.0302   -0.2948    0.8070   -0.1162   -0.0114 |           0 
          muslim |   0.3215    0.0505   -0.0130   -0.1938   -0.6137    0.6566    0.0820    0.1466    0.1327    0.0527 |           0 
        intersex |   0.3428   -0.0698   -0.4635   -0.1270    0.2231    0.0273    0.2176   -0.1897    0.2091   -0.6849 |           0 
           trans |   0.3356   -0.0250   -0.5460   -0.0712    0.2103    0.0536   -0.0278   -0.2987   -0.1630    0.6480 |           0 
            roma |   0.3194    0.1608   -0.0803   -0.1497   -0.5340   -0.7409    0.0631    0.0663    0.0120    0.0275 |           0 
         witness |   0.1628    0.8984    0.1719   -0.2015    0.2938    0.0722   -0.0602    0.0288    0.0002   -0.0175 |           0 
    --------------------------------------------------------------------------------------------------------------------------------

. predict c1 c2 c3 c4 c5 c6 c7 c8 c9 c10, score

Scoring coefficients 
    sum of squares(column-loading) = 1

    ------------------------------------------------------------------------------------------------------------------
        Variable |    Comp1     Comp2     Comp3     Comp4     Comp5     Comp6     Comp7     Comp8     Comp9    Comp10 
    -------------+----------------------------------------------------------------------------------------------------
        disabled |   0.2546    0.2034   -0.0683    0.9342   -0.0837    0.0412    0.0715    0.0391   -0.0011   -0.0344 
          jewish |   0.3450   -0.1699    0.3459    0.0337    0.0913   -0.0547   -0.5088   -0.2911    0.6080    0.0817 
           asian |   0.3238   -0.1821    0.4587   -0.0412    0.2499   -0.0464    0.7333    0.0447    0.0732    0.2003 
           black |   0.3534   -0.1325    0.3337   -0.0289   -0.0470    0.0582   -0.2209   -0.3294   -0.7235   -0.2430 
             lgb |   0.3528   -0.1952   -0.0693   -0.0441    0.2791   -0.0302   -0.2948    0.8070   -0.1162   -0.0114 
          muslim |   0.3215    0.0505   -0.0130   -0.1938   -0.6137    0.6566    0.0820    0.1466    0.1327    0.0527 
        intersex |   0.3428   -0.0698   -0.4635   -0.1270    0.2231    0.0273    0.2176   -0.1897    0.2091   -0.6849 
           trans |   0.3356   -0.0250   -0.5460   -0.0712    0.2103    0.0536   -0.0278   -0.2987   -0.1630    0.6480 
            roma |   0.3194    0.1608   -0.0803   -0.1497   -0.5340   -0.7409    0.0631    0.0663    0.0120    0.0275 
         witness |   0.1628    0.8984    0.1719   -0.2015    0.2938    0.0722   -0.0602    0.0288    0.0002   -0.0175 
    ------------------------------------------------------------------------------------------------------------------

. 
. pca refrights refterror_inv refcrime_inv refmoney_inv

Principal components/correlation                 Number of obs    =        722
                                                 Number of comp.  =          4
                                                 Trace            =          4
    Rotation: (unrotated = principal)            Rho              =     1.0000

    --------------------------------------------------------------------------
       Component |   Eigenvalue   Difference         Proportion   Cumulative
    -------------+------------------------------------------------------------
           Comp1 |      2.71797      2.17853             0.6795       0.6795
           Comp2 |      .539444      .139596             0.1349       0.8144
           Comp3 |      .399848     .0571129             0.1000       0.9143
           Comp4 |      .342735            .             0.0857       1.0000
    --------------------------------------------------------------------------

Principal components (eigenvectors) 

    --------------------------------------------------------------------
        Variable |    Comp1     Comp2     Comp3     Comp4 | Unexplained 
    -------------+----------------------------------------+-------------
       refrights |   0.4799    0.6895    0.5409    0.0411 |           0 
    refterror_~v |   0.5003   -0.5527    0.2127    0.6316 |           0 
    refcrime_inv |   0.5146   -0.3773    0.0826   -0.7656 |           0 
    refmoney_inv |   0.5046    0.2770   -0.8096    0.1153 |           0 
    --------------------------------------------------------------------

. predict r1 r2 r3 r4, score

Scoring coefficients 
    sum of squares(column-loading) = 1

    ------------------------------------------------------
        Variable |    Comp1     Comp2     Comp3     Comp4 
    -------------+----------------------------------------
       refrights |   0.4799    0.6895    0.5409    0.0411 
    refterror_~v |   0.5003   -0.5527    0.2127    0.6316 
    refcrime_inv |   0.5146   -0.3773    0.0826   -0.7656 
    refmoney_inv |   0.5046    0.2770   -0.8096    0.1153 
    ------------------------------------------------------

. 
. 
. save stones.dta, replace
file stones.dta saved

. 
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ ALL VARIABLES STD ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞*
. clear

. gen variable = .

. save allvar.dta, replace
(note: dataset contains 0 observations)
(note: file allvar.dta not found)
file allvar.dta saved

. use stones.dta, clear

. 
. 
. * Standardize variables
. 
. foreach var of varlist anger joy fear pride sadness disgust hostility ///
> disabled jewish asian black lgb muslim intersex trans roma witness c1 ///
> refrights refterror_inv refcrime_inv refmoney_inv r1 prodemo  quantity donationyn {
  2. egen std`var' = std(`var')
  3. }

.  save stones.dta, replace
file stones.dta saved

. 
. 
. *emotions std
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment, r
  3.         regsave treatment using "allvar.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Controls
> , 0, Facet, 1)
  4. }

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =     139.03
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1618
                                                Root MSE          =     .91614

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8040369   .0681908    11.79   0.000     .6701604    .9379133
       _cons |  -.4020184   .0373867   -10.75   0.000    -.4754183   -.3286185
------------------------------------------------------------------------------
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =     188.21
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2072
                                                Root MSE          =     .89099

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.9098231   .0663187   -13.72   0.000    -1.040024   -.7796219
       _cons |   .4549115   .0433601    10.49   0.000     .3697841    .5400389
------------------------------------------------------------------------------
(note: variable Var was str6, now str8 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       5.08
                                                Prob > F          =     0.0245
                                                R-squared         =     0.0070
                                                Root MSE          =     .99718

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1672388   .0742227     2.25   0.025     .0215199    .3129576
       _cons |  -.0836194    .052518    -1.59   0.112    -.1867261    .0194873
------------------------------------------------------------------------------
(note: variable Var was str7, now str8 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =      98.47
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1203
                                                Root MSE          =     .93857

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.6932352   .0698598    -9.92   0.000    -.8303885   -.5560819
       _cons |   .3466176   .0520852     6.65   0.000     .2443605    .4488747
------------------------------------------------------------------------------
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =     129.20
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1521
                                                Root MSE          =     .92143

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7795777   .0685841    11.37   0.000      .644929    .9142263
       _cons |  -.3897888   .0431541    -9.03   0.000    -.4745116    -.305066
------------------------------------------------------------------------------
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =     134.66
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1576
                                                Root MSE          =     .91848

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7933332   .0683647    11.60   0.000     .6591153     .927551
       _cons |  -.3966666   .0268137   -14.79   0.000     -.449309   -.3440241
------------------------------------------------------------------------------
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =      32.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0433
                                                Root MSE          =     .97881

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4157314   .0728548     5.71   0.000     .2726983    .5587646
       _cons |  -.2078657    .043127    -4.82   0.000    -.2925354    -.123196
------------------------------------------------------------------------------
file allvar.dta saved

. 
. local covar woman age_1 age_2 age_3 age_4 age_5 age_6 religious otherminoritydummy ethnicminority raceminoritymajority     ///
> ideoscale state_1 state_2 state_3 state_4 state_5 state_6 polint_1 polint_2 /// 
> polint_3 polint_4 income_1 income_2 income_3 income_4 income_5 income_6 income_7  ///
> edu_2 edu_3 edu_4 edu_5 edu_6 state_1 state_2 state_3 state_4 state_5 state_6 ///
> state_7 state_8 state_9 state_10 state_11 state_12 state_13 state_14 state_15 state_16 failcheck

. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment `covar', r
  3.         regsave treatment using "allvar.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Controls
> , 1, Facet, 1)
  4. }
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       5.64
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2420
                                                Root MSE          =     .90065

--------------------------------------------------------------------------------------
                     |               Robust
            stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |    .859439   .0698254    12.31   0.000      .722335    .9965429
               woman |   .0512682   .0756609     0.68   0.498     -.097294    .1998304
               age_1 |  -.1724135    .250313    -0.69   0.491    -.6639098    .3190827
               age_2 |  -.2383345   .2369361    -1.01   0.315     -.703565     .226896
               age_3 |  -.4006033   .2397127    -1.67   0.095    -.8712858    .0700791
               age_4 |   -.153996   .2755086    -0.56   0.576    -.6949645    .3869726
               age_5 |          0  (omitted)
               age_6 |  -.6728127    .348926    -1.93   0.054    -1.357938    .0123129
           religious |   .0235883   .0884025     0.27   0.790    -.1499925     .197169
  otherminoritydummy |   .0336744    .091714     0.37   0.714    -.1464085    .2137572
      ethnicminority |  -.1099289   .1783833    -0.62   0.538    -.4601893    .2403314
raceminoritymajority |  -.1648041   .1577725    -1.04   0.297    -.4745947    .1449866
           ideoscale |  -.0647676   .0237034    -2.73   0.006    -.1113098   -.0182254
             state_1 |   .2476869   .3088841     0.80   0.423    -.3588154    .8541892
             state_2 |   .3194101   .3101278     1.03   0.303    -.2895343    .9283545
             state_3 |    .275952   .3345616     0.82   0.410    -.3809687    .9328727
             state_4 |   .8966226   .3660685     2.45   0.015     .1778373    1.615408
             state_5 |   .4108894   .3800075     1.08   0.280    -.3352655    1.157044
             state_6 |   .0104167    .324505     0.03   0.974    -.6267576     .647591
            polint_1 |   .4156518   .2262756     1.84   0.067    -.0286465    .8599501
            polint_2 |   .2097421   .2130785     0.98   0.325    -.2086432    .6281275
            polint_3 |   .1964207     .21449     0.92   0.360    -.2247361    .6175776
            polint_4 |          0  (omitted)
            income_1 |   .1248882   .1731736     0.72   0.471    -.2151429    .4649193
            income_2 |   .2404591   .1740368     1.38   0.168    -.1012669    .5821852
            income_3 |   .2295567   .1700562     1.35   0.178    -.1043531    .5634666
            income_4 |   .1262667   .1557133     0.81   0.418    -.1794805    .4320139
            income_5 |   .3452615   .1634253     2.11   0.035     .0243715    .6661514
            income_6 |   .2833143   .1851733     1.53   0.126    -.0802785    .6469072
            income_7 |          0  (omitted)
               edu_2 |   .1849633   .2809396     0.66   0.511    -.3666691    .7365957
               edu_3 |   .0910144   .2674273     0.34   0.734    -.4340864    .6161152
               edu_4 |   -.002419   .2667795    -0.01   0.993    -.5262477    .5214098
               edu_5 |   .0317795   .2687861     0.12   0.906    -.4959892    .5595483
               edu_6 |  -.3277701   .3273175    -1.00   0.317    -.9704669    .3149267
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .4413063   .3117233     1.42   0.157    -.1707709    1.053383
             state_8 |   .3807703   .3968753     0.96   0.338    -.3985051    1.160046
             state_9 |   .3071899   .3141208     0.98   0.328    -.3095947    .9239746
            state_10 |   .4590873   .3028529     1.52   0.130    -.1355726    1.053747
            state_11 |   .3796242   .3405603     1.11   0.265    -.2890751    1.048324
            state_12 |          0  (omitted)
            state_13 |    .409472   .3480294     1.18   0.240    -.2738932    1.092837
            state_14 |   .2850328   .4318113     0.66   0.509    -.5628402    1.132906
            state_15 |   .2742585   .3391085     0.81   0.419    -.3915902    .9401072
            state_16 |   .2202084   .3621786     0.61   0.543    -.4909391    .9313559
           failcheck |   .0969985   .1977031     0.49   0.624    -.2911969    .4851939
               _cons |  -.5284049   .6039193    -0.87   0.382    -1.714217    .6574069
--------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       8.72
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2835
                                                Root MSE          =     .87372

--------------------------------------------------------------------------------------
                     |               Robust
              stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.9190956   .0676972   -13.58   0.000    -1.052021   -.7861704
               woman |   .0950149   .0722446     1.32   0.189    -.0468394    .2368691
               age_1 |   .5209067   .1857499     2.80   0.005     .1561817    .8856317
               age_2 |    .270759   .1718028     1.58   0.116    -.0665804    .6080984
               age_3 |   .1085685   .1793315     0.61   0.545    -.2435537    .4606907
               age_4 |  -.2152312   .2113899    -1.02   0.309     -.630301    .1998386
               age_5 |          0  (omitted)
               age_6 |   .5312864   .3960253     1.34   0.180    -.2463199    1.308893
           religious |  -.0054672     .08643    -0.06   0.950    -.1751749    .1642405
  otherminoritydummy |   -.175789    .088778    -1.98   0.048     -.350107    -.001471
      ethnicminority |  -.3239899   .1718667    -1.89   0.060    -.6614547     .013475
raceminoritymajority |  -.0645941   .1457541    -0.44   0.658    -.3507862    .2215981
           ideoscale |   .0096258   .0220963     0.44   0.663    -.0337608    .0530124
             state_1 |  -.1327415   .3228894    -0.41   0.681    -.7667435    .5012605
             state_2 |  -.1190001   .3243463    -0.37   0.714    -.7558629    .5178627
             state_3 |   .0933257   .3515463     0.27   0.791    -.5969448    .7835963
             state_4 |   .0613342   .3444866     0.18   0.859    -.6150746     .737743
             state_5 |   -.451311   .3389739    -1.33   0.184    -1.116895    .2142733
             state_6 |  -.0030518    .360935    -0.01   0.993    -.7117574    .7056537
            polint_1 |   -.053004   .2279999    -0.23   0.816    -.5006879    .3946799
            polint_2 |  -.0861488   .2153796    -0.40   0.689    -.5090525    .3367549
            polint_3 |  -.1737717   .2172839    -0.80   0.424    -.6004144     .252871
            polint_4 |          0  (omitted)
            income_1 |  -.4251923   .1830338    -2.32   0.020    -.7845841   -.0658005
            income_2 |  -.3752172   .1866894    -2.01   0.045    -.7417869   -.0086476
            income_3 |  -.3372238   .1754312    -1.92   0.055    -.6816877    .0072401
            income_4 |  -.2538559   .1612553    -1.57   0.116     -.570485    .0627732
            income_5 |  -.1216217   .1717443    -0.71   0.479    -.4588462    .2156029
            income_6 |  -.2389891   .1869513    -1.28   0.202    -.6060731    .1280949
            income_7 |          0  (omitted)
               edu_2 |   .3599291   .3556272     1.01   0.312    -.3383544    1.058213
               edu_3 |   .1926946   .3413503     0.56   0.573    -.4775559    .8629452
               edu_4 |   .3418265   .3433618     1.00   0.320    -.3323737    1.016027
               edu_5 |   .2024179    .346183     0.58   0.559    -.4773217    .8821574
               edu_6 |   .4836719   .3894369     1.24   0.215     -.280998    1.248342
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.0290041   .3299968    -0.09   0.930    -.6769616    .6189535
             state_8 |  -.3535196   .3800737    -0.93   0.353    -1.099805    .3927654
             state_9 |  -.2100172    .324209    -0.65   0.517    -.8466102    .4265759
            state_10 |  -.2973885   .3126554    -0.95   0.342    -.9112957    .3165188
            state_11 |  -.0409633    .346697    -0.12   0.906    -.7217122    .6397856
            state_12 |          0  (omitted)
            state_13 |  -.3028504   .3289779    -0.92   0.358    -.9488074    .3431066
            state_14 |  -.2002997   .3794911    -0.53   0.598    -.9454408    .5448413
            state_15 |  -.2987005   .3506431    -0.85   0.395    -.9871978    .3897967
            state_16 |  -.1765248    .398358    -0.44   0.658    -.9587114    .6056618
           failcheck |  -.2106763   .1658543    -1.27   0.204    -.5363357    .1149831
               _cons |   .5868423   .6027323     0.97   0.331    -.5966388    1.770323
--------------------------------------------------------------------------------------
(note: variable Var was str6, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       1.20
                                                Prob > F          =     0.1835
                                                R-squared         =     0.0579
                                                Root MSE          =     1.0036

--------------------------------------------------------------------------------------
                     |               Robust
             stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .1698633   .0767365     2.21   0.027     .0191891    .3205376
               woman |   .1554075   .0827611     1.88   0.061    -.0070961    .3179112
               age_1 |  -.3550169   .2356991    -1.51   0.132    -.8178185    .1077846
               age_2 |  -.2967705   .2286496    -1.30   0.195    -.7457302    .1521893
               age_3 |  -.4622418   .2349101    -1.97   0.050    -.9234941   -.0009896
               age_4 |  -.2747902   .2709159    -1.01   0.311    -.8067409    .2571604
               age_5 |          0  (omitted)
               age_6 |  -.1917548   .4976884    -0.39   0.700    -1.168979    .7854699
           religious |   .0221578   .1056177     0.21   0.834    -.1852253    .2295409
  otherminoritydummy |   .2127135   .1039828     2.05   0.041     .0085406    .4168865
      ethnicminority |  -.0708576   .2111265    -0.34   0.737    -.4854102    .3436949
raceminoritymajority |   .0321372     .17025     0.19   0.850    -.3021534    .3664277
           ideoscale |  -.0251627   .0233205    -1.08   0.281    -.0709531    .0206277
             state_1 |   .1032463   .2771605     0.37   0.710    -.4409658    .6474584
             state_2 |   .0825973   .2786636     0.30   0.767    -.4645661    .6297608
             state_3 |     .35336   .3039422     1.16   0.245    -.2434387    .9501588
             state_4 |   .0605094   .3297059     0.18   0.854    -.5868769    .7078958
             state_5 |  -.2858317   .3451478    -0.83   0.408    -.9635387    .3918754
             state_6 |   .1524262    .345222     0.44   0.659    -.5254265    .8302789
            polint_1 |   .2500576    .199175     1.26   0.210    -.1410278     .641143
            polint_2 |   .2014505   .1803483     1.12   0.264    -.1526682    .5555692
            polint_3 |   .1997905   .1882344     1.06   0.289    -.1698128    .5693938
            polint_4 |          0  (omitted)
            income_1 |   .0172509   .1805513     0.10   0.924    -.3372665    .3717684
            income_2 |   .0931754   .1871901     0.50   0.619    -.2743774    .4607281
            income_3 |    .061622   .1866888     0.33   0.741    -.3049466    .4281906
            income_4 |   .0135595   .1672222     0.08   0.935    -.3147858    .3419049
            income_5 |   .2452943   .1758601     1.39   0.164    -.1000118    .5906003
            income_6 |   .0531709   .1840594     0.29   0.773    -.3082347    .4145766
            income_7 |          0  (omitted)
               edu_2 |   .0420428   .3377883     0.12   0.901    -.6212137    .7052993
               edu_3 |    .030427    .320016     0.10   0.924    -.5979331     .658787
               edu_4 |   -.042545   .3201501    -0.13   0.894    -.6711683    .5860783
               edu_5 |  -.1769775   .3227869    -0.55   0.584    -.8107782    .4568233
               edu_6 |  -.0996139    .393424    -0.25   0.800    -.8721126    .6728847
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .1759846   .2908534     0.61   0.545    -.3951138     .747083
             state_8 |   .2232106   .4626851     0.48   0.630     -.685284    1.131705
             state_9 |   .2328924   .2933221     0.79   0.427    -.3430535    .8088382
            state_10 |   .1521808    .268083     0.57   0.570    -.3742075     .678569
            state_11 |    .143218   .3109753     0.46   0.645    -.4673904    .7538264
            state_12 |          0  (omitted)
            state_13 |    .222555   .3307644     0.67   0.501    -.4269098    .8720199
            state_14 |   .1767003   .3694597     0.48   0.633    -.5487439    .9021444
            state_15 |   .0884171   .3073153     0.29   0.774    -.5150049     .691839
            state_16 |  -.1931404   .3141164    -0.61   0.539    -.8099164    .4236356
           failcheck |  -.0839061   .2196762    -0.38   0.703    -.5152462     .347434
               _cons |  -.2347849   .6321501    -0.37   0.710    -1.476029    1.006459
--------------------------------------------------------------------------------------
(note: variable Var was str7, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       5.28
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2042
                                                Root MSE          =     .91994

--------------------------------------------------------------------------------------
                     |               Robust
            stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.7309369   .0714833   -10.23   0.000    -.8712962   -.5905776
               woman |   -.073136   .0748683    -0.98   0.329     -.220142    .0738699
               age_1 |   .3139634   .1860994     1.69   0.092    -.0514478    .6793746
               age_2 |   .1356751   .1757779     0.77   0.440    -.2094694    .4808197
               age_3 |  -.0522941   .1782933    -0.29   0.769    -.4023779    .2977897
               age_4 |  -.3928907   .2243666    -1.75   0.080    -.8334405    .0476592
               age_5 |          0  (omitted)
               age_6 |   .4998558   .4552969     1.10   0.273    -.3941318    1.393843
           religious |   .0420901    .090936     0.46   0.644    -.1364651    .2206453
  otherminoritydummy |  -.1098276   .0977859    -1.12   0.262    -.3018328    .0821777
      ethnicminority |  -.2872678    .178244    -1.61   0.108    -.6372547    .0627191
raceminoritymajority |   .0625379   .1621712     0.39   0.700    -.2558896    .3809654
           ideoscale |   .0357789   .0227971     1.57   0.117    -.0089838    .0805417
             state_1 |  -.1054276   .3762294    -0.28   0.779    -.8441643     .633309
             state_2 |  -.3254267   .3773828    -0.86   0.389    -1.066428    .4155745
             state_3 |   -.256291   .4012152    -0.64   0.523    -1.044088    .5315058
             state_4 |  -.0698787   .4251784    -0.16   0.870    -.9047279    .7649705
             state_5 |  -.7024153   .4174807    -1.68   0.093     -1.52215    .1173194
             state_6 |  -.4970886    .419763    -1.18   0.237    -1.321305    .3271274
            polint_1 |  -.2956572   .2949154    -1.00   0.316    -.8747315    .2834171
            polint_2 |  -.3500032   .2822761    -1.24   0.215      -.90426    .2042535
            polint_3 |  -.4241126   .2829259    -1.50   0.134    -.9796453      .13142
            polint_4 |          0  (omitted)
            income_1 |   -.368783    .191558    -1.93   0.055    -.7449123    .0073463
            income_2 |  -.2833485    .200267    -1.41   0.158    -.6765781    .1098812
            income_3 |  -.3154656   .1902012    -1.66   0.098    -.6889308    .0579996
            income_4 |  -.2981614   .1735239    -1.72   0.086    -.6388802    .0425574
            income_5 |  -.1441811   .1839617    -0.78   0.433    -.5053948    .2170326
            income_6 |   -.196099   .1977382    -0.99   0.322    -.5843633    .1921654
            income_7 |          0  (omitted)
               edu_2 |   .1920432   .3293513     0.58   0.560    -.4546471    .8387334
               edu_3 |   .1325798   .3162653     0.42   0.675    -.4884157    .7535753
               edu_4 |   .1463242   .3197092     0.46   0.647    -.4814335    .7740818
               edu_5 |   .1744232   .3229014     0.54   0.589    -.4596024    .8084489
               edu_6 |   .1932953    .373409     0.52   0.605    -.5399034     .926494
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.2955763    .378489    -0.78   0.435     -1.03875    .4475971
             state_8 |   .0106003   .4543697     0.02   0.981    -.8815667    .9027674
             state_9 |  -.3199776   .3756945    -0.85   0.395    -1.057664    .4177087
            state_10 |  -.4240276   .3673171    -1.15   0.249    -1.145265    .2972094
            state_11 |  -.4700527   .3886198    -1.21   0.227    -1.233118    .2930128
            state_12 |          0  (omitted)
            state_13 |  -.2785519   .4046527    -0.69   0.491    -1.073099    .5159946
            state_14 |  -.4024206   .3976571    -1.01   0.312    -1.183231    .3783898
            state_15 |  -.4879835   .3924836    -1.24   0.214    -1.258636    .2826686
            state_16 |  -.2770808   .4501767    -0.62   0.538    -1.161015    .6068533
           failcheck |  -.3370212   .1593776    -2.11   0.035    -.6499634   -.0240791
               _cons |   .8742256   .6803505     1.28   0.199    -.4616608    2.210112
--------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       6.07
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2414
                                                Root MSE          =     .90113

--------------------------------------------------------------------------------------
                     |               Robust
          stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .8259013     .06957    11.87   0.000     .6892987    .9625038
               woman |   .1675695   .0756567     2.21   0.027     .0190155    .3161235
               age_1 |  -.4637253   .1847305    -2.51   0.012    -.8264486    -.101002
               age_2 |  -.4011629   .1745771    -2.30   0.022    -.7439498    -.058376
               age_3 |  -.4651153   .1832139    -2.54   0.011    -.8248608   -.1053698
               age_4 |  -.3153234   .2266222    -1.39   0.165    -.7603023    .1296555
               age_5 |          0  (omitted)
               age_6 |  -.7385415   .3678066    -2.01   0.045     -1.46074   -.0163432
           religious |   .0330177   .0879958     0.38   0.708    -.1397644    .2057998
  otherminoritydummy |   .1316756   .0911833     1.44   0.149    -.0473653    .3107166
      ethnicminority |   .2435083   .1818724     1.34   0.181    -.1136031    .6006197
raceminoritymajority |   .0259289   .1403387     0.18   0.853      -.24963    .3014877
           ideoscale |  -.0673405   .0226131    -2.98   0.003     -.111742    -.022939
             state_1 |   .1560024    .315258     0.49   0.621    -.4630152      .77502
             state_2 |    .256533   .3179185     0.81   0.420    -.3677085    .8807744
             state_3 |   .2751572   .3384944     0.81   0.417    -.3894856       .9398
             state_4 |   .1721815   .3557477     0.48   0.629    -.5263387    .8707018
             state_5 |   .3959655   .3607203     1.10   0.273    -.3123186     1.10425
             state_6 |  -.1247247   .3352804    -0.37   0.710    -.7830569    .5336075
            polint_1 |   .0696679   .2282823     0.31   0.760    -.3785706    .5179063
            polint_2 |  -.0882112   .2133695    -0.41   0.679    -.5071681    .3307456
            polint_3 |  -.0806543   .2179394    -0.37   0.711    -.5085842    .3472756
            polint_4 |          0  (omitted)
            income_1 |   .2994211   .1891353     1.58   0.114    -.0719512    .6707933
            income_2 |   .2694799   .1887344     1.43   0.154    -.1011051     .640065
            income_3 |   .0888258   .1832813     0.48   0.628    -.2710519    .4487036
            income_4 |   .1117142   .1701606     0.66   0.512    -.2224008    .4458291
            income_5 |    .276091   .1782182     1.55   0.122    -.0738453    .6260273
            income_6 |   .2554546   .1979686     1.29   0.197     -.133262    .6441712
            income_7 |          0  (omitted)
               edu_2 |   .2629109    .339378     0.77   0.439    -.4034669    .9292887
               edu_3 |   .1470563   .3235304     0.45   0.650    -.4882044    .7823171
               edu_4 |   .1024119   .3246977     0.32   0.753    -.5351407    .7399646
               edu_5 |   .0456235   .3323927     0.14   0.891    -.6070385    .6982855
               edu_6 |  -.3024666   .3750394    -0.81   0.420    -1.038866    .4339333
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .4322938   .3170705     1.36   0.173    -.1902827     1.05487
             state_8 |    .168077   .3688263     0.46   0.649    -.5561234    .8922774
             state_9 |   .1612639   .3211576     0.50   0.616    -.4693378    .7918655
            state_10 |   .4021554   .3075475     1.31   0.191    -.2017224    1.006033
            state_11 |   .3846114   .3384237     1.14   0.256    -.2798927    1.049115
            state_12 |          0  (omitted)
            state_13 |   .4212687   .3538289     1.19   0.234     -.273484    1.116021
            state_14 |   .2203169   .3967321     0.56   0.579    -.5586773     .999311
            state_15 |   .3369603   .3439482     0.98   0.328    -.3383912    1.012312
            state_16 |  -.0207387   .3392674    -0.06   0.951    -.6868993     .645422
           failcheck |   .1077211   .1980089     0.54   0.587    -.2810748     .496517
               _cons |  -.4830558   .6326028    -0.76   0.445    -1.725189    .7590768
--------------------------------------------------------------------------------------
(note: variable Var was str10, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       4.48
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2403
                                                Root MSE          =     .89893

--------------------------------------------------------------------------------------
                     |               Robust
          stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .8235489   .0694558    11.86   0.000     .6871706    .9599273
               woman |  -.0338361    .073841    -0.46   0.647    -.1788249    .1111527
               age_1 |   .4137792   .1996488     2.07   0.039     .0217634    .8057951
               age_2 |   .1640278    .186327     0.88   0.379    -.2018302    .5298859
               age_3 |   .0177804   .1846286     0.10   0.923    -.3447428    .3803035
               age_4 |   .1322399   .2211824     0.60   0.550    -.3020578    .5665375
               age_5 |          0  (omitted)
               age_6 |   -.078976    .254704    -0.31   0.757    -.5790941    .4211421
           religious |  -.0358437   .0909436    -0.39   0.694    -.2144139    .1427266
  otherminoritydummy |   .1981869   .0930477     2.13   0.034     .0154852    .3808886
      ethnicminority |  -.1151168   .1861342    -0.62   0.536    -.4805962    .2503627
raceminoritymajority |  -.0240984   .1444585    -0.17   0.868    -.3077466    .2595498
           ideoscale |  -.0448435   .0214952    -2.09   0.037    -.0870499   -.0026371
             state_1 |  -.0232696   .4472475    -0.05   0.959    -.9014521    .8549129
             state_2 |   .1323843   .4472398     0.30   0.767    -.7457832    1.010552
             state_3 |   .2204632    .472021     0.47   0.641    -.7063628    1.147289
             state_4 |  -.0183132   .4813935    -0.04   0.970    -.9635424    .9269159
             state_5 |   .0513584   .4619733     0.11   0.912    -.8557388    .9584555
             state_6 |  -.2102809   .4524295    -0.46   0.642    -1.098638    .6780767
            polint_1 |   .4038543   .2051504     1.97   0.049     .0010358    .8066727
            polint_2 |    .239428   .1811897     1.32   0.187    -.1163429    .5951989
            polint_3 |   .0899335    .183667     0.49   0.625    -.2707015    .4505686
            polint_4 |          0  (omitted)
            income_1 |   .0537198   .1555257     0.35   0.730    -.2516591    .3590987
            income_2 |   .2698371   .1610549     1.68   0.094    -.0463985    .5860727
            income_3 |   .2708346   .1553296     1.74   0.082    -.0341593    .5758285
            income_4 |   .1602462   .1371442     1.17   0.243    -.1090401    .4295326
            income_5 |   .3210622   .1446509     2.22   0.027     .0370362    .6050882
            income_6 |   .2552738   .1766223     1.45   0.149    -.0915288    .6020765
            income_7 |          0  (omitted)
               edu_2 |   .0533856   .2640767     0.20   0.840    -.4651361    .5719073
               edu_3 |  -.1060755   .2443618    -0.43   0.664    -.5858865    .3737356
               edu_4 |  -.0340121   .2464486    -0.14   0.890    -.5179205    .4498963
               edu_5 |   .0033173   .2574811     0.01   0.990    -.5022538    .5088884
               edu_6 |  -.1288583   .3097984    -0.42   0.678    -.7371558    .4794393
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .2399705   .4508127     0.53   0.595    -.6452124    1.125154
             state_8 |   .2471704   .5029092     0.49   0.623    -.7403054    1.234646
             state_9 |  -.0064363   .4469071    -0.01   0.989    -.8839505    .8710779
            state_10 |   .2372808   .4440803     0.53   0.593     -.634683    1.109244
            state_11 |   .2561631   .4682782     0.55   0.585    -.6633138     1.17564
            state_12 |          0  (omitted)
            state_13 |  -.0151466   .4674464    -0.03   0.974    -.9329903    .9026971
            state_14 |   .0433693   .4937715     0.09   0.930    -.9261644    1.012903
            state_15 |   .1947369   .4666226     0.42   0.677    -.7214892    1.110963
            state_16 |  -.0111694   .4557291    -0.02   0.980    -.9060058     .883667
           failcheck |  -.1508857   .1638644    -0.92   0.357    -.4726379    .1708665
               _cons |  -.9252674   .6417918    -1.44   0.150    -2.185443    .3349082
--------------------------------------------------------------------------------------
(note: variable Var was str10, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       2.26
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1317
                                                Root MSE          =     .96584

--------------------------------------------------------------------------------------
                     |               Robust
        stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .4511317   .0744226     6.06   0.000      .305001    .5972624
               woman |  -.2287295   .0786202    -2.91   0.004    -.3831024   -.0743566
               age_1 |   .1507485   .2367033     0.64   0.524    -.3140249    .6155219
               age_2 |   .2018493      .2265     0.89   0.373    -.2428895    .6465881
               age_3 |  -.1254897   .2245919    -0.56   0.577    -.5664819    .3155026
               age_4 |   .1252938   .2578816     0.49   0.627    -.3810636    .6316512
               age_5 |          0  (omitted)
               age_6 |  -.1258085   .4467141    -0.28   0.778    -1.002944    .7513266
           religious |   .0413092   .0885239     0.47   0.641    -.1325099    .2151283
  otherminoritydummy |   .0991472   .1008543     0.98   0.326    -.0988829    .2971773
      ethnicminority |  -.0679962   .2104792    -0.32   0.747    -.4812777    .3452854
raceminoritymajority |  -.0036438    .182032    -0.02   0.984    -.3610686     .353781
           ideoscale |  -.0242782   .0249096    -0.97   0.330    -.0731888    .0246324
             state_1 |   .1251538   .3327158     0.38   0.707    -.5281425    .7784502
             state_2 |   .2758054    .336538     0.82   0.413    -.3849961    .9366069
             state_3 |   .4124872   .3854949     1.07   0.285    -.3444424    1.169417
             state_4 |   .9336108   .4595165     2.03   0.043     .0313377    1.835884
             state_5 |     .11269   .4762339     0.24   0.813     -.822408    1.047788
             state_6 |   .0121954   .3490135     0.03   0.972    -.6731021    .6974928
            polint_1 |   .0238995   .2577262     0.09   0.926    -.4821528    .5299517
            polint_2 |  -.0719215   .2412295    -0.30   0.766    -.5455822    .4017392
            polint_3 |  -.1218032   .2451411    -0.50   0.619    -.6031444     .359538
            polint_4 |          0  (omitted)
            income_1 |   .2411991    .181605     1.33   0.185    -.1153873    .5977854
            income_2 |   .1486995   .1773138     0.84   0.402     -.199461    .4968599
            income_3 |   .1817593   .1819089     1.00   0.318    -.1754237    .5389423
            income_4 |   .1130781   .1566255     0.72   0.471    -.1944603    .4206165
            income_5 |   .3437885   .1654477     2.08   0.038     .0189274    .6686496
            income_6 |    .128344   .1897479     0.68   0.499    -.2442311    .5009191
            income_7 |          0  (omitted)
               edu_2 |   .6478584   .3832449     1.69   0.091    -.1046533     1.40037
               edu_3 |   .2013881   .3704549     0.54   0.587    -.5260102    .9287863
               edu_4 |   .2701723   .3670069     0.74   0.462    -.4504556    .9908002
               edu_5 |   .2431071   .3722115     0.65   0.514    -.4877403    .9739545
               edu_6 |  -.1149814    .386366    -0.30   0.766    -.8736214    .6436586
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .3905064   .3391731     1.15   0.250    -.2754693    1.056482
             state_8 |   .2723285   .4858793     0.56   0.575    -.6817086    1.226366
             state_9 |   .0986972    .335598     0.29   0.769    -.5602585    .7576528
            state_10 |   .2383328   .3248017     0.73   0.463    -.3994241    .8760898
            state_11 |   .5697945   .3802606     1.50   0.134    -.1768574    1.316446
            state_12 |          0  (omitted)
            state_13 |   .2265559   .3831166     0.59   0.554    -.5257038    .9788156
            state_14 |   .2362911   .4255444     0.56   0.579    -.5992768    1.071859
            state_15 |   .1785016   .3445325     0.52   0.605    -.4979972    .8550003
            state_16 |   .0697602   .3636766     0.19   0.848    -.6443286    .7838489
           failcheck |   .0416136   .1784447     0.23   0.816    -.3087674    .3919947
               _cons |  -.8012312    .650525    -1.23   0.219    -2.078555    .4760921
--------------------------------------------------------------------------------------
file allvar.dta saved

. 
. 
. 
. 
. * coworkers std
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment, r
  3.         regsave treatment using "allvar.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, Control
> s, 0, Facet, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.97
                                                Prob > F          =     0.3262
                                                R-squared         =     0.0013
                                                Root MSE          =          1

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0731338   .0744341     0.98   0.326    -.0729999    .2192676
       _cons |  -.0365669   .0539764    -0.68   0.498    -.1425369     .069403
------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.05
                                                Prob > F          =     0.8226
                                                R-squared         =     0.0001
                                                Root MSE          =     1.0007

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0167075   .0744814    -0.22   0.823    -.1629341    .1295191
       _cons |   .0083537   .0529125     0.16   0.875    -.0955276     .112235
------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.62
                                                Prob > F          =     0.4312
                                                R-squared         =     0.0009
                                                Root MSE          =     1.0003

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0586328   .0744519    -0.79   0.431    -.2048016     .087536
       _cons |   .0293164   .0515056     0.57   0.569    -.0718027    .1304355
------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.90
                                                Prob > F          =     0.3429
                                                R-squared         =     0.0012
                                                Root MSE          =     1.0001

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0706427   .0744374    -0.95   0.343     -.216783    .0754976
       _cons |   .0353214   .0499846     0.71   0.480    -.0628115    .1334543
------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.16
                                                Prob > F          =     0.2810
                                                R-squared         =     0.0016
                                                Root MSE          =     .99989

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0802883   .0744238    -1.08   0.281    -.2264019    .0658254
       _cons |   .0401441   .0500168     0.80   0.422    -.0580522    .1383404
------------------------------------------------------------------------------
(note: variable Var was str6, now str12 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.37
                                                Prob > F          =     0.5439
                                                R-squared         =     0.0005
                                                Root MSE          =     1.0004

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.045221   .0744649    -0.61   0.544    -.1914152    .1009733
       _cons |   .0226105   .0516534     0.44   0.662    -.0787988    .1240197
------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.47
                                                Prob > F          =     0.4918
                                                R-squared         =     0.0007
                                                Root MSE          =     1.0004

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0512158   .0744595    -0.69   0.492    -.1973995    .0949679
       _cons |   .0256079   .0527589     0.49   0.628    -.0779718    .1291876
------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.00
                                                Prob > F          =     1.0000
                                                R-squared         =     0.0000
                                                Root MSE          =     1.0007

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -4.00e-18    .074484    -0.00   1.000    -.1462317    .1462317
       _cons |  -1.06e-08   .0534121    -0.00   1.000    -.1048621     .104862
------------------------------------------------------------------------------
(note: variable pval was byte, now float to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.00
                                                Prob > F          =     0.9703
                                                R-squared         =     0.0000
                                                Root MSE          =     1.0007

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.002775   .0744839    -0.04   0.970    -.1490065    .1434566
       _cons |   .0013875   .0532579     0.03   0.979    -.1031719    .1059468
------------------------------------------------------------------------------
(note: variable Var was str7, now str12 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       3.21
                                                Prob > F          =     0.0738
                                                R-squared         =     0.0044
                                                Root MSE          =     .99847

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .133051   .0743187     1.79   0.074    -.0128563    .2789583
       _cons |  -.0665255    .054617    -1.22   0.224    -.1737531    .0407022
------------------------------------------------------------------------------
(note: variable Var was str10, now str12 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.14
                                                Prob > F          =     0.7092
                                                R-squared         =     0.0002
                                                Root MSE          =     1.0006

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.027787   .0744768    -0.37   0.709    -.1740045    .1184306
       _cons |   .0138935   .0508169     0.27   0.785    -.0858735    .1136604
------------------------------------------------------------------------------
(note: variable Var was str5, now str12 to accommodate using data's values)
file allvar.dta saved

. 
. 
. local covar woman age_1 age_2 age_3 age_4 age_5 age_6 religious otherminoritydummy ethnicminority raceminoritymajority  ///
> ideoscale state_1 state_2 state_3 state_4 state_5 state_6 polint_1 polint_2 /// 
> polint_3 polint_4 income_1 income_2 income_3 income_4 income_5 income_6 income_7  ///
> edu_2 edu_3 edu_4 edu_5 edu_6 state_1 state_2 state_3 state_4 state_5 state_6 ///
> state_7 state_8 state_9 state_10 state_11 state_12 state_13 state_14 state_15 state_16 failcheck

. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment `covar', r
  3.         regsave treatment using "allvar.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, Control
> s, 1, Facet, 2)
  4. }
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       2.51
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1282
                                                Root MSE          =     .96287

--------------------------------------------------------------------------------------
                     |               Robust
         stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0951576   .0760227     1.25   0.211     -.054115    .2444303
               woman |   .3218296   .0781426     4.12   0.000     .1683946    .4752646
               age_1 |  -.2212981   .2380741    -0.93   0.353    -.6887631    .2461668
               age_2 |  -.2102243   .2352512    -0.89   0.372    -.6721464    .2516979
               age_3 |  -.1306108   .2339729    -0.56   0.577    -.5900229    .3288013
               age_4 |   .0076852   .2400623     0.03   0.974    -.4636835     .479054
               age_5 |          0  (omitted)
               age_6 |  -.4774242   .4934039    -0.97   0.334    -1.446236    .4913876
           religious |  -.0037519   .0996574    -0.04   0.970    -.1994318     .191928
  otherminoritydummy |   .0375182   .0933326     0.40   0.688    -.1457429    .2207793
      ethnicminority |   .0476907   .1865485     0.26   0.798    -.3186024    .4139838
raceminoritymajority |  -.0704207   .1606618    -0.44   0.661    -.3858845    .2450432
           ideoscale |  -.1322029   .0266325    -4.96   0.000    -.1844965   -.0799093
             state_1 |   -.357672   .3425772    -1.04   0.297    -1.030332    .3149877
             state_2 |  -.3564617   .3502507    -1.02   0.309    -1.044188    .3312649
             state_3 |  -.4513414   .3836937    -1.18   0.240    -1.204734    .3020514
             state_4 |  -.1040603   .3809552    -0.27   0.785    -.8520762    .6439556
             state_5 |  -.1091904   .4811411    -0.23   0.821    -1.053924    .8355432
             state_6 |  -.0117763   .3643754    -0.03   0.974    -.7272371    .7036846
            polint_1 |   .1907861   .3110911     0.61   0.540    -.4200497    .8016219
            polint_2 |      .0762    .300209     0.25   0.800    -.5132685    .6656684
            polint_3 |   .0268489   .3007942     0.09   0.929    -.5637686    .6174663
            polint_4 |          0  (omitted)
            income_1 |   -.185243   .2065309    -0.90   0.370     -.590772    .2202861
            income_2 |  -.2525369   .1981269    -1.27   0.203    -.6415645    .1364906
            income_3 |  -.2234984   .2017693    -1.11   0.268    -.6196778     .172681
            income_4 |  -.2992367   .1816268    -1.65   0.100    -.6558659    .0573925
            income_5 |  -.1686441   .1826761    -0.92   0.356    -.5273335    .1900453
            income_6 |  -.1883144    .214649    -0.88   0.381    -.6097836    .2331548
            income_7 |          0  (omitted)
               edu_2 |  -.2806278   .2974176    -0.94   0.346    -.8646152    .3033596
               edu_3 |  -.2658937    .275348    -0.97   0.335    -.8065469    .2747596
               edu_4 |  -.3091654   .2810144    -1.10   0.272    -.8609447     .242614
               edu_5 |  -.2609748   .2935093    -0.89   0.374    -.8372883    .3153386
               edu_6 |  -.1626304   .3282743    -0.50   0.620    -.8072059     .481945
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.1985964   .3497834    -0.57   0.570    -.8854056    .4882127
             state_8 |  -.3982204   .5390011    -0.74   0.460    -1.456564    .6601227
             state_9 |  -.2680986   .3513629    -0.76   0.446    -.9580091    .4218119
            state_10 |  -.1758333   .3386177    -0.52   0.604    -.8407183    .4890517
            state_11 |  -.2518874   .3601439    -0.70   0.485    -.9590397    .4552648
            state_12 |          0  (omitted)
            state_13 |  -.4350931   .3774976    -1.15   0.249     -1.17632    .3061336
            state_14 |  -.3108916   .3766542    -0.83   0.409    -1.050462     .428679
            state_15 |  -.3882941   .3750489    -1.04   0.301    -1.124713    .3481245
            state_16 |  -.3308447   .4363157    -0.76   0.449    -1.187562    .5258729
           failcheck |   .2310934   .1853922     1.25   0.213    -.1329291    .5951159
               _cons |   1.225859   .7078009     1.73   0.084    -.1639277    2.615645
--------------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       2.34
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1426
                                                Root MSE          =     .95392

--------------------------------------------------------------------------------------
                     |               Robust
           stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0175991   .0753829    -0.23   0.815    -.1656155    .1304173
               woman |   .2615298   .0724734     3.61   0.000     .1192263    .4038332
               age_1 |   .2773294   .2958809     0.94   0.349    -.3036406    .8582995
               age_2 |   .2188892   .2922904     0.75   0.454    -.3550309    .7928092
               age_3 |   .2393966   .2871369     0.83   0.405    -.3244045    .8031977
               age_4 |   .1175917   .3214463     0.37   0.715    -.5135768    .7487602
               age_5 |          0  (omitted)
               age_6 |  -.2055042   .5057456    -0.41   0.685    -1.198549    .7875411
           religious |  -.0826851   .0962691    -0.86   0.391    -.2717121    .1063419
  otherminoritydummy |   .0167974   .0840357     0.20   0.842     -.148209    .1818037
      ethnicminority |   .0245076   .2306721     0.11   0.915    -.4284232    .4774385
raceminoritymajority |    .363839   .2106588     1.73   0.085    -.0497952    .7774732
           ideoscale |  -.1364532   .0272159    -5.01   0.000    -.1898924    -.083014
             state_1 |   .1889336   .4456921     0.42   0.672    -.6861949    1.064062
             state_2 |    .255965   .4442698     0.58   0.565    -.6163707    1.128301
             state_3 |   .3307012   .4493635     0.74   0.462    -.5516362    1.213039
             state_4 |   .2026624   .4455241     0.45   0.649    -.6721363    1.077461
             state_5 |  -.0486502   .6465821    -0.08   0.940    -1.318231    1.220931
             state_6 |   .4851773   .4490125     1.08   0.280    -.3964708    1.366825
            polint_1 |   .3409088   .3252316     1.05   0.295    -.2976921    .9795098
            polint_2 |   .0897755   .3226687     0.28   0.781    -.5437932    .7233442
            polint_3 |   .1151809   .3192018     0.36   0.718    -.5115805    .7419423
            polint_4 |          0  (omitted)
            income_1 |  -.1140077   .1980592    -0.58   0.565    -.5029023    .2748869
            income_2 |  -.2232581   .2062299    -1.08   0.279    -.6281961      .18168
            income_3 |  -.2679398   .2005836    -1.34   0.182    -.6617911    .1259116
            income_4 |  -.1914722   .1831509    -1.05   0.296    -.5510939    .1681496
            income_5 |  -.0917042   .1837463    -0.50   0.618     -.452495    .2690865
            income_6 |  -.1443939   .2108408    -0.68   0.494    -.5583855    .2695977
            income_7 |          0  (omitted)
               edu_2 |  -.1445759   .3561317    -0.41   0.685    -.8438501    .5546983
               edu_3 |  -.1476231   .3436054    -0.43   0.668    -.8223015    .5270553
               edu_4 |  -.2642544   .3507772    -0.75   0.452     -.953015    .4245061
               edu_5 |  -.2166433   .3671326    -0.59   0.555     -.937518    .5042315
               edu_6 |  -.0196415   .3765841    -0.05   0.958    -.7590747    .7197916
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .0131709   .4584038     0.03   0.977    -.8869174    .9132592
             state_8 |  -.0522227   .4921247    -0.11   0.916    -1.018523    .9140773
             state_9 |   .1446369   .4521714     0.32   0.749    -.7432137    1.032488
            state_10 |   .2643856   .4423527     0.60   0.550    -.6041859    1.132957
            state_11 |   .1735694   .4599473     0.38   0.706    -.7295496    1.076688
            state_12 |          0  (omitted)
            state_13 |   .2354693   .4528321     0.52   0.603    -.6536787    1.124617
            state_14 |  -.3291171   .5811286    -0.57   0.571    -1.470179    .8119447
            state_15 |   .3097239   .4536661     0.68   0.495    -.5810617     1.20051
            state_16 |  -.3711864   .5811114    -0.64   0.523    -1.512214    .7698416
           failcheck |   .1737191   .1206593     1.44   0.150    -.0631988     .410637
               _cons |  -.5165567   .8534911    -0.61   0.545     -2.19241    1.159296
--------------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       2.14
                                                Prob > F          =     0.0001
                                                R-squared         =     0.1281
                                                Root MSE          =     .96654

--------------------------------------------------------------------------------------
                     |               Robust
            stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0510953   .0777858    -0.66   0.511    -.2038297    .1016392
               woman |   .2121053   .0752826     2.82   0.005     .0642859    .3599247
               age_1 |   .3675071   .3300231     1.11   0.266    -.2805021    1.015516
               age_2 |    .419726   .3254068     1.29   0.198     -.219219    1.058671
               age_3 |    .330694     .32171     1.03   0.304    -.3009922    .9623802
               age_4 |    .235755   .3689498     0.64   0.523    -.4886879    .9601979
               age_5 |          0  (omitted)
               age_6 |  -.2612072   .6344682    -0.41   0.681    -1.507003    .9845883
           religious |  -.1780982   .1040793    -1.71   0.088    -.3824607    .0262644
  otherminoritydummy |   -.029511   .0676683    -0.44   0.663    -.1623795    .1033575
      ethnicminority |  -.0085622   .2493654    -0.03   0.973    -.4981979    .4810735
raceminoritymajority |   .2236558   .2048212     1.09   0.275    -.1785161    .6258278
           ideoscale |  -.1019537   .0240503    -4.24   0.000    -.1491772   -.0547302
             state_1 |   .1888886   .4860468     0.39   0.698    -.7654774    1.143254
             state_2 |   .1916495   .4853164     0.39   0.693    -.7612823    1.144581
             state_3 |   .2577512   .4917759     0.52   0.600    -.7078641    1.223366
             state_4 |   .2670134   .4846735     0.55   0.582    -.6846561    1.218683
             state_5 |  -.1190276   .5947058    -0.20   0.841    -1.286748    1.048693
             state_6 |    .441223   .4927811     0.90   0.371    -.5263659    1.408812
            polint_1 |  -.0080862   .1943682    -0.04   0.967    -.3897334    .3735609
            polint_2 |  -.1316174   .1815668    -0.72   0.469    -.4881287    .2248939
            polint_3 |  -.1269966   .1783882    -0.71   0.477    -.4772665    .2232734
            polint_4 |          0  (omitted)
            income_1 |  -.0327324   .1948018    -0.17   0.867     -.415231    .3497662
            income_2 |  -.2542536   .2276659    -1.12   0.264    -.7012817    .1927744
            income_3 |  -.1948653   .2088889    -0.93   0.351    -.6050244    .2152937
            income_4 |  -.1471661   .1925129    -0.76   0.445    -.5251703    .2308381
            income_5 |  -.2073987   .2000792    -1.04   0.300    -.6002595    .1854621
            income_6 |  -.1187678   .2153993    -0.55   0.582    -.5417101    .3041745
            income_7 |          0  (omitted)
               edu_2 |   .3475857   .4643941     0.75   0.454    -.5642646    1.259436
               edu_3 |    .310958   .4571193     0.68   0.497     -.586608    1.208524
               edu_4 |   .2118683   .4596533     0.46   0.645    -.6906733     1.11441
               edu_5 |   .1648815   .4679971     0.35   0.725    -.7540434    1.083806
               edu_6 |   .4947916   .4749626     1.04   0.298    -.4378103    1.427394
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .0810007   .5009276     0.16   0.872    -.9025842    1.064586
             state_8 |     -.2731   .5991367    -0.46   0.649    -1.449521     .903321
             state_9 |   .2401165   .4872061     0.49   0.622    -.7165258    1.196759
            state_10 |   .2074548   .4829522     0.43   0.668    -.7408349    1.155745
            state_11 |   .1429852   .5027598     0.28   0.776    -.8441973    1.130168
            state_12 |          0  (omitted)
            state_13 |   .1564714   .4970208     0.31   0.753    -.8194423    1.132385
            state_14 |  -.6275535   .6460055    -0.97   0.332    -1.896003    .6408958
            state_15 |   .3367078   .4903205     0.69   0.493    -.6260498    1.299465
            state_16 |  -.6076507   .6414895    -0.95   0.344    -1.867233    .6519313
           failcheck |   .2112043   .1065684     1.98   0.048     .0019543    .4204543
               _cons |  -.6270017   .8795315    -0.71   0.476    -2.353985    1.099982
--------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       2.37
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1708
                                                Root MSE          =     .93585

--------------------------------------------------------------------------------------
                     |               Robust
            stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0601727   .0729063    -0.83   0.409    -.2033262    .0829807
               woman |   .2425696   .0696514     3.48   0.001     .1058071     .379332
               age_1 |   .0446088    .226509     0.20   0.844    -.4001478    .4893654
               age_2 |   .0942238   .2137086     0.44   0.659    -.3253988    .5138464
               age_3 |   .0306506   .2137014     0.14   0.886    -.3889579     .450259
               age_4 |   .0268022   .2531939     0.11   0.916    -.4703508    .5239553
               age_5 |          0  (omitted)
               age_6 |  -.9329101   .9535148    -0.98   0.328    -2.805162    .9393419
           religious |  -.0891952   .0993893    -0.90   0.370    -.2843487    .1059584
  otherminoritydummy |  -.0408151   .0750982    -0.54   0.587    -.1882723    .1066422
      ethnicminority |   .2566374   .2205199     1.16   0.245    -.1763595    .6896342
raceminoritymajority |   .4309882   .2096515     2.06   0.040     .0193319    .8426445
           ideoscale |  -.1637753   .0276664    -5.92   0.000     -.218099   -.1094515
             state_1 |   .0708685   .4549717     0.16   0.876    -.8224807    .9642177
             state_2 |   .0421106   .4567478     0.09   0.927     -.854726    .9389472
             state_3 |      .1435   .4607218     0.31   0.756    -.7611397     1.04814
             state_4 |   .0073954   .4662648     0.02   0.987    -.9081282    .9229189
             state_5 |  -.3961718   .6429136    -0.62   0.538     -1.65855    .8662064
             state_6 |    .263352   .4602445     0.57   0.567    -.6403505    1.167055
            polint_1 |     .17588   .2849138     0.62   0.537     -.383556     .735316
            polint_2 |   .0301233   .2806156     0.11   0.915     -.520873    .5811195
            polint_3 |   .0845191   .2773912     0.30   0.761     -.460146    .6291843
            polint_4 |          0  (omitted)
            income_1 |  -.0013374   .2022041    -0.01   0.995    -.3983705    .3956957
            income_2 |  -.1973475   .2158546    -0.91   0.361    -.6211838    .2264888
            income_3 |  -.1544551   .2078272    -0.74   0.458    -.5625295    .2536193
            income_4 |  -.0981837   .1903607    -0.52   0.606     -.471962    .2755947
            income_5 |  -.0526587   .1968919    -0.27   0.789    -.4392612    .3339438
            income_6 |   .0141504   .2120176     0.07   0.947    -.4021519    .4304528
            income_7 |          0  (omitted)
               edu_2 |   .1650305   .4290102     0.38   0.701    -.6773427    1.007404
               edu_3 |   .1123884   .4214535     0.27   0.790     -.715147    .9399237
               edu_4 |   .0102744    .424928     0.02   0.981    -.8240832    .8446321
               edu_5 |   -.075132   .4376064    -0.17   0.864     -.934384    .7841199
               edu_6 |   .3382337   .4357195     0.78   0.438    -.5173131    1.193781
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .0209036   .4663667     0.04   0.964      -.89482    .9366271
             state_8 |  -.3338361    .527367    -0.63   0.527    -1.369335    .7016633
             state_9 |  -.0136905   .4640649    -0.03   0.976    -.9248945    .8975134
            state_10 |   .0691645   .4533677     0.15   0.879    -.8210352    .9593642
            state_11 |  -.0221442   .4959019    -0.04   0.964    -.9958609    .9515725
            state_12 |          0  (omitted)
            state_13 |   .0033667   .4709039     0.01   0.994    -.9212659    .9279992
            state_14 |  -.7096061   .5945309    -1.19   0.233    -1.876984    .4577714
            state_15 |   .1727137   .4600287     0.38   0.707     -.730565    1.075992
            state_16 |  -.3712781   .5285374    -0.70   0.483    -1.409076    .6665192
           failcheck |   .0843975   .1296902     0.65   0.515    -.1702527    .3390476
               _cons |  -.4294367     .85866    -0.50   0.617    -2.115439    1.256565
--------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       2.79
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1831
                                                Root MSE          =     .93287

--------------------------------------------------------------------------------------
                     |               Robust
              stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0696701   .0733485    -0.95   0.343    -.2136918    .0743516
               woman |   .3229873   .0709819     4.55   0.000     .1836124    .4623622
               age_1 |    .021576   .2260091     0.10   0.924    -.4221989    .4653509
               age_2 |   .0797115   .2135764     0.37   0.709    -.3396515    .4990745
               age_3 |   .0787063   .2160138     0.36   0.716    -.3454427    .5028553
               age_4 |   .0461079   .2758475     0.17   0.867    -.4955261    .5877419
               age_5 |          0  (omitted)
               age_6 |  -.4939407   .5484808    -0.90   0.368    -1.570898    .5830162
           religious |  -.2023779   .1045743    -1.94   0.053    -.4077123    .0029566
  otherminoritydummy |  -.0242152    .084799    -0.29   0.775    -.1907203      .14229
      ethnicminority |   .0149935    .210422     0.07   0.943    -.3981757    .4281628
raceminoritymajority |   .1684971     .19148     0.88   0.379    -.2074791    .5444732
           ideoscale |  -.1638865   .0276435    -5.93   0.000    -.2181652   -.1096077
             state_1 |  -.0522476   .4276569    -0.12   0.903    -.8919634    .7874682
             state_2 |   .0457346   .4247475     0.11   0.914    -.7882685    .8797377
             state_3 |  -.0805735    .442104    -0.18   0.855    -.9486565    .7875096
             state_4 |   .0308755   .4263228     0.07   0.942    -.8062208    .8679719
             state_5 |  -.1093221   .4877069    -0.22   0.823    -1.066948    .8483035
             state_6 |   .1868725   .4333335     0.43   0.666    -.6639895    1.037734
            polint_1 |  -.0533712   .1873275    -0.28   0.776    -.4211938    .3144514
            polint_2 |  -.1899263   .1744139    -1.09   0.277    -.5323927    .1525401
            polint_3 |  -.1337195   .1710528    -0.78   0.435    -.4695863    .2021473
            polint_4 |          0  (omitted)
            income_1 |   .1242343    .186953     0.66   0.507    -.2428529    .4913214
            income_2 |  -.0270374   .2000703    -0.14   0.893    -.4198809     .365806
            income_3 |   .0627893   .1862097     0.34   0.736    -.3028384     .428417
            income_4 |  -.0507471   .1809376    -0.28   0.779    -.4060229    .3045287
            income_5 |   .0625458   .1783303     0.35   0.726    -.2876106    .4127022
            income_6 |   .1266624   .1970976     0.64   0.521    -.2603441    .5136689
            income_7 |          0  (omitted)
               edu_2 |   .1466749   .3579686     0.41   0.682    -.5562061     .849556
               edu_3 |   .1494522   .3492361     0.43   0.669    -.5362823    .8351867
               edu_4 |   .0750038   .3505069     0.21   0.831    -.6132259    .7632336
               edu_5 |   .1715659   .3606642     0.48   0.634     -.536608    .8797397
               edu_6 |   .3246587   .3741953     0.87   0.386     -.410084    1.059401
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.1422326   .4408712    -0.32   0.747    -1.007895    .7234299
             state_8 |  -.7032782   .6712838    -1.05   0.295    -2.021362    .6148058
             state_9 |    .052524   .4238464     0.12   0.901    -.7797099     .884758
            state_10 |   .0049843   .4206613     0.01   0.991    -.8209955    .8309641
            state_11 |  -.0232729   .4342052    -0.05   0.957    -.8758465    .8293008
            state_12 |          0  (omitted)
            state_13 |   .0840522   .4284495     0.20   0.845    -.7572201    .9253244
            state_14 |  -.9251719   .6556638    -1.41   0.159    -2.212585    .3622416
            state_15 |   .1040233    .439548     0.24   0.813    -.7590411    .9670877
            state_16 |  -.3358802   .5015955    -0.67   0.503    -1.320777    .6490162
           failcheck |   .0679942   .1672237     0.41   0.684     -.260354    .3963424
               _cons |   .1353106   .7808634     0.17   0.862    -1.397936    1.668557
--------------------------------------------------------------------------------------
(note: variable Var was str6, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       3.86
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2255
                                                Root MSE          =     .91228

--------------------------------------------------------------------------------------
                     |               Robust
           stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0275854   .0707623    -0.39   0.697    -.1665291    .1113583
               woman |   .2312731   .0720274     3.21   0.001     .0898454    .3727007
               age_1 |   .2546644   .1931504     1.32   0.188    -.1245916    .6339204
               age_2 |   .1161337   .1840203     0.63   0.528    -.2451952    .4774626
               age_3 |   .0865241   .1852098     0.47   0.641    -.2771404    .4501885
               age_4 |  -.0752019   .2441719    -0.31   0.758    -.5546399    .4042361
               age_5 |          0  (omitted)
               age_6 |  -.2190693   .5951938    -0.37   0.713    -1.387748    .9496097
           religious |  -.0527053   .0958123    -0.55   0.582    -.2408353    .1354246
  otherminoritydummy |  -.2236237   .0900837    -2.48   0.013    -.4005055   -.0467419
      ethnicminority |   .3359506   .2022719     1.66   0.097    -.0612158    .7331169
raceminoritymajority |   .3285288   .1978668     1.66   0.097     -.059988    .7170456
           ideoscale |  -.2117647   .0261154    -8.11   0.000    -.2630429   -.1604865
             state_1 |  -.1872121   .4238832    -0.44   0.659    -1.019518     .645094
             state_2 |   .0106952   .4198123     0.03   0.980    -.8136176    .8350081
             state_3 |  -.0082431   .4389627    -0.02   0.985    -.8701582    .8536719
             state_4 |  -.1108414    .437384    -0.25   0.800    -.9696566    .7479738
             state_5 |  -.5724824   .5757351    -0.99   0.320    -1.702954     .557989
             state_6 |   .1445137   .4232797     0.34   0.733    -.6866074    .9756349
            polint_1 |   .1716786   .2765568     0.62   0.535    -.3713482    .7147054
            polint_2 |   .0676982   .2703942     0.25   0.802     -.463228    .5986245
            polint_3 |   .1132503   .2700911     0.42   0.675     -.417081    .6435815
            polint_4 |          0  (omitted)
            income_1 |   -.032271   .2014693    -0.16   0.873    -.4278614    .3633194
            income_2 |  -.0367286   .2033717    -0.18   0.857    -.4360544    .3625973
            income_3 |  -.0594122   .2046139    -0.29   0.772    -.4611771    .3423526
            income_4 |  -.0645418   .1884523    -0.34   0.732     -.434573    .3054894
            income_5 |  -.0856832   .1920938    -0.45   0.656    -.4628646    .2914981
            income_6 |  -.0196471   .2062713    -0.10   0.924    -.4246663    .3853721
            income_7 |          0  (omitted)
               edu_2 |   .5215262   .5393722     0.97   0.334    -.5375456    1.580598
               edu_3 |   .7248077   .5271778     1.37   0.170    -.3103201    1.759935
               edu_4 |   .6708823   .5295601     1.27   0.206    -.3689233    1.710688
               edu_5 |    .688553    .532443     1.29   0.196    -.3569131    1.734019
               edu_6 |   1.127774    .548101     2.06   0.040     .0515631    2.203985
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.1332645   .4319046    -0.31   0.758    -.9813208    .7147918
             state_8 |  -.7220474   .6350905    -1.14   0.256    -1.969065    .5249698
             state_9 |   .0702284   .4171729     0.17   0.866    -.7489018    .8893585
            state_10 |  -.0596914   .4140836    -0.14   0.885    -.8727557     .753373
            state_11 |  -.0380332   .4335053    -0.09   0.930    -.8892326    .8131661
            state_12 |          0  (omitted)
            state_13 |  -.3362571   .4509826    -0.75   0.456    -1.221774    .5492594
            state_14 |  -.6379597   .5267446    -1.21   0.226    -1.672237    .3963175
            state_15 |   .0633926   .4356753     0.15   0.884    -.7920677    .9188528
            state_16 |  -.1382036   .4572487    -0.30   0.763    -1.036024    .7596165
           failcheck |   .0201955   .1844553     0.11   0.913    -.3419874    .3823785
               _cons |  -.6985369   .8533849    -0.82   0.413    -2.374181    .9771072
--------------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       4.38
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2491
                                                Root MSE          =     .89408

--------------------------------------------------------------------------------------
                     |               Robust
         stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0381707   .0691091    -0.55   0.581    -.1738684     .097527
               woman |   .3737725   .0690419     5.41   0.000     .2382069    .5093381
               age_1 |  -.0873795   .1966679    -0.44   0.657    -.4735423    .2987832
               age_2 |  -.1090645   .1878206    -0.58   0.562    -.4778554    .2597264
               age_3 |  -.1277413   .1879531    -0.68   0.497    -.4967923    .2413097
               age_4 |  -.2056926   .2434872    -0.84   0.399    -.6837863     .272401
               age_5 |          0  (omitted)
               age_6 |  -.3014589   .4897704    -0.62   0.538    -1.263136    .6602184
           religious |  -.2270441   .0993363    -2.29   0.023    -.4220936   -.0319947
  otherminoritydummy |   -.102584   .0900398    -1.14   0.255    -.2793796    .0742117
      ethnicminority |   .2464905   .1847346     1.33   0.183     -.116241    .6092219
raceminoritymajority |   .2444828   .1870871     1.31   0.192    -.1228677    .6118334
           ideoscale |  -.2008581   .0252329    -7.96   0.000    -.2504037   -.1513126
             state_1 |  -.0927196   .3921866    -0.24   0.813    -.8627886    .6773494
             state_2 |    -.12982    .391001    -0.33   0.740    -.8975611     .637921
             state_3 |  -.0684619   .4022446    -0.17   0.865      -.85828    .7213563
             state_4 |   .0338247   .3902413     0.09   0.931    -.7324246    .8000739
             state_5 |  -.6107363   .5392619    -1.13   0.258    -1.669592    .4481189
             state_6 |  -.1094518   .4162462    -0.26   0.793    -.9267623    .7078588
            polint_1 |  -.0388006   .2482811    -0.16   0.876    -.5263072     .448706
            polint_2 |  -.0578144   .2366357    -0.24   0.807    -.5224549    .4068261
            polint_3 |  -.0110066   .2370679    -0.05   0.963    -.4764958    .4544825
            polint_4 |          0  (omitted)
            income_1 |   .2990315   .2113557     1.41   0.158    -.1159711    .7140342
            income_2 |   .3124671   .2096615     1.49   0.137    -.0992088    .7241431
            income_3 |   .3560147   .2046715     1.74   0.082    -.0458633    .7578927
            income_4 |   .2745058   .1987803     1.38   0.168    -.1158047    .6648162
            income_5 |   .2869111   .1968356     1.46   0.145     -.099581    .6734032
            income_6 |   .2563293   .2238754     1.14   0.253    -.1832562    .6959148
            income_7 |          0  (omitted)
               edu_2 |  -.1866132   .3212232    -0.58   0.561    -.8173437    .4441173
               edu_3 |  -.1089362   .3097736    -0.35   0.725     -.717185    .4993126
               edu_4 |  -.2471791   .3116397    -0.79   0.428    -.8590919    .3647338
               edu_5 |  -.0733143   .3159403    -0.23   0.817    -.6936715     .547043
               edu_6 |   .1882913   .3388452     0.56   0.579    -.4770404     .853623
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.1953379   .4081857    -0.48   0.632    -.9968216    .6061458
             state_8 |  -.6678977   .5037861    -1.33   0.185    -1.657095    .3212999
             state_9 |  -.0126828   .3884723    -0.03   0.974    -.7754586     .750093
            state_10 |  -.1024145   .3852705    -0.27   0.790    -.8589034    .6540745
            state_11 |  -.0012161   .4028897    -0.00   0.998     -.792301    .7898687
            state_12 |          0  (omitted)
            state_13 |  -.1264248   .4100766    -0.31   0.758    -.9316214    .6787717
            state_14 |  -.9053474   .5343877    -1.69   0.091    -1.954632    .1439373
            state_15 |  -.0438442   .4112977    -0.11   0.915    -.8514383    .7637499
            state_16 |  -.3226018   .4422487    -0.73   0.466    -1.190969    .5457655
           failcheck |  -.0997052   .1730349    -0.58   0.565    -.4394639    .2400536
               _cons |   .2758682   .7432263     0.37   0.711    -1.183477    1.735213
--------------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       4.62
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2610
                                                Root MSE          =     .89088

--------------------------------------------------------------------------------------
                     |               Robust
            stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0331679   .0682589     0.49   0.627    -.1008604    .1671962
               woman |   .4559118   .0683386     6.67   0.000     .3217271    .5900965
               age_1 |  -.2795053   .1651552    -1.69   0.091    -.6037919    .0447814
               age_2 |   -.294748   .1536341    -1.92   0.055    -.5964126    .0069167
               age_3 |  -.3189375   .1569145    -2.03   0.042    -.6270434   -.0108316
               age_4 |  -.1434697    .189897    -0.76   0.450    -.5163375    .2293982
               age_5 |          0  (omitted)
               age_6 |  -.2812963   .4028294    -0.70   0.485    -1.072263    .5096701
           religious |  -.2439915   .0989641    -2.47   0.014    -.4383102   -.0496728
  otherminoritydummy |  -.0784627    .085047    -0.92   0.357    -.2454549    .0885295
      ethnicminority |    .316979   .1694429     1.87   0.062    -.0157268    .6496848
raceminoritymajority |     .16031   .1745493     0.92   0.359    -.1824223    .5030424
           ideoscale |   -.192724   .0256979    -7.50   0.000    -.2431824   -.1422655
             state_1 |  -.1882856   .3489697    -0.54   0.590    -.8734971    .4969258
             state_2 |   -.179528   .3473227    -0.52   0.605    -.8615056    .5024496
             state_3 |  -.0931381   .3573499    -0.26   0.794    -.7948043     .608528
             state_4 |    .123262    .342459     0.36   0.719    -.5491655    .7956896
             state_5 |  -.7037531   .5060512    -1.39   0.165    -1.697398    .2898921
             state_6 |  -.3186037   .3663967    -0.87   0.385    -1.038033    .4008261
            polint_1 |     .11738   .2556962     0.46   0.646    -.3846864    .6194464
            polint_2 |   .0351084   .2439817     0.14   0.886    -.4439562     .514173
            polint_3 |   .1024133   .2441627     0.42   0.675    -.3770067    .5818333
            polint_4 |          0  (omitted)
            income_1 |   .2795721   .2167939     1.29   0.198    -.1461086    .7052527
            income_2 |   .3773119   .2073428     1.82   0.069    -.0298112     .784435
            income_3 |   .3729857    .208355     1.79   0.074    -.0361249    .7820963
            income_4 |   .2934582    .201042     1.46   0.145    -.1012932    .6882096
            income_5 |   .2215993   .2004882     1.11   0.269    -.1720647    .6152634
            income_6 |   .2016012   .2243537     0.90   0.369    -.2389234    .6421258
            income_7 |          0  (omitted)
               edu_2 |   .2170643    .344956     0.63   0.529    -.4602662    .8943948
               edu_3 |   .3004057   .3347145     0.90   0.370    -.3568152    .9576266
               edu_4 |   .2220263   .3362154     0.66   0.509    -.4381417    .8821942
               edu_5 |   .3684784   .3419175     1.08   0.282    -.3028859    1.039843
               edu_6 |   .6062463   .3628873     1.67   0.095    -.1062928    1.318785
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.2335095   .3603504    -0.65   0.517    -.9410671    .4740481
             state_8 |  -.7748829   .5160521    -1.50   0.134    -1.788165    .2383994
             state_9 |  -.1550347   .3469067    -0.45   0.655    -.8361954     .526126
            state_10 |  -.2090114   .3404468    -0.61   0.539    -.8774878     .459465
            state_11 |  -.0022409   .3554609    -0.01   0.995     -.700198    .6957162
            state_12 |          0  (omitted)
            state_13 |  -.2623468   .3688918    -0.71   0.477    -.9866757    .4619821
            state_14 |  -.7890363   .4713357    -1.67   0.095    -1.714517    .1364441
            state_15 |  -.0575684   .3666862    -0.16   0.875    -.7775666    .6624298
            state_16 |  -.2704481    .382865    -0.71   0.480    -1.022214    .4813176
           failcheck |   .0511001   .1502229     0.34   0.734    -.2438666    .3460669
               _cons |   .0225159   .6932031     0.03   0.974    -1.338607    1.383639
--------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       3.92
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2182
                                                Root MSE          =     .91346

--------------------------------------------------------------------------------------
                     |               Robust
             stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0454108   .0725315     0.63   0.531    -.0970067    .1878284
               woman |   .2479208   .0723288     3.43   0.001     .1059013    .3899403
               age_1 |   .1219876   .1894266     0.64   0.520    -.2499566    .4939318
               age_2 |   .0200898   .1784569     0.11   0.910    -.3303151    .3704947
               age_3 |  -.0603421    .184757    -0.33   0.744    -.4231174    .3024332
               age_4 |  -.1043019   .2395139    -0.44   0.663    -.5745939    .3659901
               age_5 |          0  (omitted)
               age_6 |  -.2286913   .4120566    -0.55   0.579    -1.037776     .580393
           religious |    .012643   .0911476     0.14   0.890    -.1663278    .1916138
  otherminoritydummy |  -.0916431   .0848196    -1.08   0.280    -.2581888    .0749025
      ethnicminority |   .2685044   .1999288     1.34   0.180    -.1240613      .66107
raceminoritymajority |   .3545319   .1795958     1.97   0.049     .0018908    .7071731
           ideoscale |  -.2156879   .0259074    -8.33   0.000    -.2665578    -.164818
             state_1 |   .2326496   .3809965     0.61   0.542    -.5154472    .9807464
             state_2 |   .1022207   .3818681     0.27   0.789    -.6475876    .8520291
             state_3 |   .1811592   .3937147     0.46   0.646    -.5919102    .9542285
             state_4 |   .2309171   .3875471     0.60   0.551    -.5300421    .9918764
             state_5 |   -.045416   .5032302    -0.09   0.928    -1.033522    .9426902
             state_6 |   .5234436   .3839334     1.36   0.173    -.2304199    1.277307
            polint_1 |   .2482143   .2748887     0.90   0.367    -.2915372    .7879657
            polint_2 |   .0160263   .2713746     0.06   0.953    -.5168251    .5488778
            polint_3 |   .1662859   .2705478     0.61   0.539     -.364942    .6975138
            polint_4 |          0  (omitted)
            income_1 |   .1339867   .2380003     0.56   0.574    -.3333333    .6013068
            income_2 |   .1310994   .2378549     0.55   0.582     -.335935    .5981338
            income_3 |   .1444632   .2332142     0.62   0.536    -.3134592    .6023856
            income_4 |   .2315376   .2218746     1.04   0.297    -.2041191    .6671944
            income_5 |   .1576717   .2238602     0.70   0.481    -.2818838    .5972273
            income_6 |   .1595757   .2544639     0.63   0.531    -.3400711    .6592225
            income_7 |          0  (omitted)
               edu_2 |   .0993254   .3640892     0.27   0.785    -.6155736    .8142244
               edu_3 |   .0635901   .3580699     0.18   0.859    -.6394897    .7666699
               edu_4 |  -.0006063    .361504    -0.00   0.999    -.7104292    .7092165
               edu_5 |  -.0225315   .3650716    -0.06   0.951    -.7393593    .6942964
               edu_6 |   .3725551   .3931594     0.95   0.344     -.399424    1.144534
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .0584748   .3904755     0.15   0.881    -.7082343    .8251839
             state_8 |  -.0359838    .465117    -0.08   0.938    -.9492536     .877286
             state_9 |   .1542449   .3814061     0.40   0.686    -.5946563    .9031461
            state_10 |   .1069204   .3745004     0.29   0.775    -.6284212     .842262
            state_11 |   .2138687   .3904016     0.55   0.584    -.5526953    .9804328
            state_12 |          0  (omitted)
            state_13 |   .0542887   .3971129     0.14   0.891    -.7254532    .8340307
            state_14 |  -.5234179   .4904628    -1.07   0.286    -1.486455     .439619
            state_15 |   .3339371   .3898198     0.86   0.392    -.4314846    1.099359
            state_16 |   .1578318   .4178445     0.38   0.706    -.6626172    .9782808
           failcheck |   .1021926   .1588056     0.64   0.520    -.2096265    .4140118
               _cons |  -.5113579   .7154847    -0.71   0.475    -1.916231    .8935157
--------------------------------------------------------------------------------------
(note: variable Var was str7, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       1.16
                                                Prob > F          =     0.2289
                                                R-squared         =     0.0577
                                                Root MSE          =     1.0045

--------------------------------------------------------------------------------------
                     |               Robust
          stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .1452003   .0765451     1.90   0.058    -.0050982    .2954988
               woman |   .0229959   .0831793     0.28   0.782     -.140329    .1863208
               age_1 |  -.0440096   .2508925    -0.18   0.861    -.5366439    .4486246
               age_2 |   .0096782   .2403339     0.04   0.968     -.462224    .4815803
               age_3 |  -.0598364   .2448005    -0.24   0.807    -.5405088     .420836
               age_4 |   .1709286   .2715942     0.63   0.529    -.3623538    .7042111
               age_5 |          0  (omitted)
               age_6 |  -.1017889   .5607137    -0.18   0.856    -1.202765    .9991876
           religious |   .0828263   .0975577     0.85   0.396    -.1087308    .2743835
  otherminoritydummy |  -.2053102   .1048094    -1.96   0.051    -.4111062    .0004859
      ethnicminority |  -.1050292   .2351896    -0.45   0.655    -.5668304     .356772
raceminoritymajority |   -.128401   .1814384    -0.71   0.479    -.4846601    .2278582
           ideoscale |  -.0099686   .0272647    -0.37   0.715    -.0635036    .0435664
             state_1 |  -.0232544   .2378852    -0.10   0.922    -.4903484    .4438396
             state_2 |  -.1412575   .2331138    -0.61   0.545    -.5989828    .3164678
             state_3 |   .1196501    .248372     0.48   0.630    -.3680351    .6073353
             state_4 |   .0631737   .2944297     0.21   0.830     -.514947    .6412945
             state_5 |  -.4993582   .3970887    -1.26   0.209    -1.279053    .2803362
             state_6 |   .4534959   .2763588     1.64   0.101    -.0891421    .9961339
            polint_1 |  -.2672264   .2616985    -1.02   0.308    -.7810784    .2466256
            polint_2 |   -.313578   .2489988    -1.26   0.208     -.802494    .1753379
            polint_3 |  -.1866148   .2513965    -0.74   0.458    -.6802387     .307009
            polint_4 |          0  (omitted)
            income_1 |   .0839106   .2319085     0.36   0.718     -.371448    .5392692
            income_2 |   .1439103   .2279123     0.63   0.528    -.3036016    .5914222
            income_3 |   .2102367   .2266534     0.93   0.354    -.2348032    .6552767
            income_4 |   .1257667   .2084889     0.60   0.547     -.283607    .5351403
            income_5 |   .0916994   .2147413     0.43   0.670     -.329951    .5133497
            income_6 |   .1560488   .2348896     0.66   0.507    -.3051632    .6172608
            income_7 |          0  (omitted)
               edu_2 |  -.2561376   .3461574    -0.74   0.460     -.935827    .4235517
               edu_3 |  -.0862582   .3244693    -0.27   0.790    -.7233625    .5508461
               edu_4 |  -.0231162   .3234334    -0.07   0.943    -.6581863    .6119539
               edu_5 |  -.1176793   .3293592    -0.36   0.721     -.764385    .5290264
               edu_6 |   .2414191   .3703496     0.65   0.515    -.4857723    .9686105
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.0207435     .24238    -0.09   0.932    -.4966631    .4551761
             state_8 |   .2290152   .4527085     0.51   0.613      -.65989    1.117921
             state_9 |   .0612372   .2396284     0.26   0.798    -.4092795     .531754
            state_10 |  -.1361512   .2226276    -0.61   0.541    -.5732865    .3009841
            state_11 |  -.1633393   .2660286    -0.61   0.539    -.6856937     .359015
            state_12 |          0  (omitted)
            state_13 |   -.125464   .3073011    -0.41   0.683    -.7288579      .47793
            state_14 |  -.7194992   .3334606    -2.16   0.031    -1.374258   -.0647403
            state_15 |  -.0590161   .2753006    -0.21   0.830    -.5995762     .481544
            state_16 |  -.0869196   .3242032    -0.27   0.789    -.7235013    .5496621
           failcheck |  -.0948182   .2231426    -0.42   0.671    -.5329647    .3433283
               _cons |   .5398918   .6716493     0.80   0.422    -.7789096    1.858693
--------------------------------------------------------------------------------------
(note: variable Var was str10, now str12 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       3.83
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2194
                                                Root MSE          =     .91192

--------------------------------------------------------------------------------------
                     |               Robust
               stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0066432   .0716672    -0.09   0.926    -.1473637    .1340774
               woman |   .3452472   .0714164     4.83   0.000     .2050192    .4854751
               age_1 |   .0674223   .2349265     0.29   0.774    -.3938623    .5287068
               age_2 |   .0504208   .2264983     0.22   0.824    -.3943148    .4951563
               age_3 |   .0168941    .225665     0.07   0.940    -.4262052    .4599933
               age_4 |  -.0014568   .2643598    -0.01   0.996    -.5205345    .5176208
               age_5 |          0  (omitted)
               age_6 |   -.447304   .5636922    -0.79   0.428    -1.554129    .6595209
           religious |  -.1371687   .0975425    -1.41   0.160    -.3286961    .0543586
  otherminoritydummy |  -.0837674   .0796038    -1.05   0.293    -.2400717    .0725369
      ethnicminority |    .189072   .2106207     0.90   0.370    -.2244874    .6026314
raceminoritymajority |   .2856991   .1947802     1.47   0.143    -.0967571    .6681552
           ideoscale |   -.197018   .0251906    -7.82   0.000    -.2464803   -.1475556
             state_1 |  -.0167831   .4643884    -0.04   0.971    -.9286223    .8950561
             state_2 |  -.0003994   .4625558    -0.00   0.999    -.9086403    .9078414
             state_3 |   .0490645   .4686604     0.10   0.917    -.8711629    .9692918
             state_4 |   .0961483   .4654497     0.21   0.836    -.8177746    1.010071
             state_5 |  -.3877185   .5996209    -0.65   0.518     -1.56509    .7896533
             state_6 |   .2393395   .4683312     0.51   0.609    -.6802415     1.15892
            polint_1 |   .1272549   .2733148     0.47   0.642    -.4094061    .6639159
            polint_2 |  -.0317415   .2672638    -0.12   0.905    -.5565211    .4930381
            polint_3 |   .0305923   .2649922     0.12   0.908    -.4897271    .5509117
            polint_4 |          0  (omitted)
            income_1 |   .0741091   .1778364     0.42   0.677    -.2750775    .4232956
            income_2 |  -.0061704   .1890994    -0.03   0.974    -.3774722    .3651315
            income_3 |   .0249809   .1847504     0.14   0.892    -.3377814    .3877433
            income_4 |   .0093318   .1688698     0.06   0.956    -.3222486    .3409123
            income_5 |   .0283523   .1701513     0.17   0.868    -.3057444     .362449
            income_6 |   .0546159   .1917629     0.28   0.776    -.3219158    .4311476
            income_7 |          0  (omitted)
               edu_2 |   .1052187    .396218     0.27   0.791     -.672766    .8832034
               edu_3 |   .1481922   .3844501     0.39   0.700     -.606686    .9030704
               edu_4 |   .0511906   .3885037     0.13   0.895    -.7116469     .814028
               edu_5 |   .0941617   .3949665     0.24   0.812    -.6813658    .8696891
               edu_6 |   .4458182   .4121192     1.08   0.280     -.363389    1.255025
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   -.092483   .4778901    -0.19   0.847    -1.030833    .8458671
             state_8 |  -.4985657   .6271392    -0.79   0.427     -1.72997     .732839
             state_9 |   .0387038    .464424     0.08   0.934    -.8732053    .9506129
            state_10 |   .0107553   .4598079     0.02   0.981      -.89209    .9136006
            state_11 |   .0213491    .478338     0.04   0.964    -.9178805    .9605787
            state_12 |          0  (omitted)
            state_13 |  -.0748604   .4776349    -0.16   0.876    -1.012709    .8629887
            state_14 |  -.8003832   .5973447    -1.34   0.181    -1.973286    .3725191
            state_15 |   .1170007   .4717562     0.25   0.804    -.8093053    1.043307
            state_16 |  -.3410624   .5418185    -0.63   0.529    -1.404938    .7228128
           failcheck |   .0972788   .1361565     0.71   0.475    -.1700681    .3646258
               _cons |  -.1457598   .8404294    -0.17   0.862    -1.795966    1.504446
--------------------------------------------------------------------------------------
(note: variable Var was str5, now str12 to accommodate using data's values)
file allvar.dta saved

. 
. 
. 
. * refugees std
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment, r
  3.         regsave treatment using "allvar.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Controls
> , 0, Facet, 3)
  4. }

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       2.91
                                                Prob > F          =     0.0887
                                                R-squared         =     0.0040
                                                Root MSE          =     .99868

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1267043   .0743341     1.70   0.089    -.0192333    .2726418
       _cons |  -.0633522   .0510381    -1.24   0.215    -.1635534    .0368491
------------------------------------------------------------------------------
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.08
                                                Prob > F          =     0.7838
                                                R-squared         =     0.0001
                                                Root MSE          =     1.0006

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0204381   .0744801     0.27   0.784     -.125786    .1666622
       _cons |   -.010219   .0542943    -0.19   0.851    -.1168131     .096375
------------------------------------------------------------------------------
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       2.89
                                                Prob > F          =     0.0896
                                                R-squared         =     0.0040
                                                Root MSE          =     .99869

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1263665   .0743349     1.70   0.090    -.0195726    .2723056
       _cons |  -.0631833   .0533346    -1.18   0.237    -.1678932    .0415267
------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.62
                                                Prob > F          =     0.2034
                                                R-squared         =     0.0022
                                                Root MSE          =     .99957

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0947109   .0744003     1.27   0.203    -.0513565    .2407783
       _cons |  -.0473555   .0528658    -0.90   0.371     -.151145     .056434
------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       2.25
                                                Prob > F          =     0.1342
                                                R-squared         =     0.0031
                                                Root MSE          =     .99914

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1115127   .0743679     1.50   0.134    -.0344912    .2575166
       _cons |  -.0557564   .0535162    -1.04   0.298    -.1608228    .0493101
------------------------------------------------------------------------------
(note: variable Var was str5, now str16 to accommodate using data's values)
file allvar.dta saved

. 
. local covar woman age_1 age_2 age_3 age_4 age_5 age_6 religious otherminoritydummy ethnicminority raceminoritymajority   ///
> ideoscale state_1 state_2 state_3 state_4 state_5 state_6 polint_1 polint_2 /// 
> polint_3 polint_4 income_1 income_2 income_3 income_4 income_5 income_6 income_7  ///
> edu_2 edu_3 edu_4 edu_5 edu_6 state_1 state_2 state_3 state_4 state_5 state_6 ///
> state_7 state_8 state_9 state_10 state_11 state_12 state_13 state_14 state_15 state_16 failcheck

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment `covar', r
  3.         regsave treatment using "allvar.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Controls
> , 1, Facet, 3)
  4. }
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       9.55
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3472
                                                Root MSE          =     .83485

--------------------------------------------------------------------------------------
                     |               Robust
        stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0936356    .063026     1.49   0.138    -.0301177     .217389
               woman |  -.0796912   .0685761    -1.16   0.246    -.2143422    .0549598
               age_1 |  -.0614193   .2205101    -0.28   0.781    -.4943967    .3715582
               age_2 |  -.0277254   .2098281    -0.13   0.895    -.4397285    .3842777
               age_3 |   .1029807   .2149718     0.48   0.632    -.3191221    .5250835
               age_4 |   -.096127   .2690703    -0.36   0.721    -.6244538    .4321998
               age_5 |          0  (omitted)
               age_6 |   .4620031   .5032477     0.92   0.359    -.5261373    1.450143
           religious |  -.0827382   .0842949    -0.98   0.327    -.2482535    .0827771
  otherminoritydummy |   .1542903   .0812413     1.90   0.058    -.0052292    .3138098
      ethnicminority |   .1703149   .2078736     0.82   0.413    -.2378506    .5784803
raceminoritymajority |   .1255843   .1388772     0.90   0.366    -.1471049    .3982734
           ideoscale |   .3071853   .0224493    13.68   0.000     .2631056     .351265
             state_1 |  -.0744149   .2981477    -0.25   0.803    -.6598361    .5110062
             state_2 |  -.1704458   .3017167    -0.56   0.572    -.7628748    .4219831
             state_3 |  -.2666511   .3155437    -0.85   0.398    -.8862297    .3529275
             state_4 |  -.2413323   .3345522    -0.72   0.471    -.8982346    .4155699
             state_5 |   .1732029   .3818991     0.45   0.650    -.5766663    .9230721
             state_6 |  -.1002044   .3224296    -0.31   0.756    -.7333037    .5328949
            polint_1 |  -.7159936   .2775797    -2.58   0.010    -1.261029   -.1709584
            polint_2 |  -.4466972    .270618    -1.65   0.099     -.978063    .0846686
            polint_3 |  -.4624988   .2715068    -1.70   0.089    -.9956097    .0706121
            polint_4 |          0  (omitted)
            income_1 |  -.0011653   .2024298    -0.01   0.995    -.3986417    .3963112
            income_2 |  -.0260567   .2033119    -0.13   0.898    -.4252651    .3731518
            income_3 |   .2423611   .2065636     1.17   0.241     -.163232    .6479542
            income_4 |   .0985939   .1930474     0.51   0.610    -.2804598    .4776476
            income_5 |   .0558367   .1936907     0.29   0.773    -.3244801    .4361536
            income_6 |   .1248386   .2274681     0.55   0.583    -.3218012    .5714784
            income_7 |          0  (omitted)
               edu_2 |   .3269156   .2963012     1.10   0.270    -.2548799     .908711
               edu_3 |   .0712629   .2865988     0.25   0.804    -.4914817    .6340075
               edu_4 |   .1371606   .2883827     0.48   0.635    -.4290865    .7034077
               edu_5 |   .2075008   .2994233     0.69   0.489    -.3804248    .7954265
               edu_6 |  -.2155221   .3299802    -0.65   0.514    -.8634471     .432403
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .0568883   .3107476     0.18   0.855    -.5532731    .6670496
             state_8 |  -.4932906   .3069407    -1.61   0.109    -1.095977    .1093958
             state_9 |  -.2149693   .3000595    -0.72   0.474    -.8041441    .3742056
            state_10 |   -.083401   .2912584    -0.29   0.775    -.6552948    .4884928
            state_11 |  -.3209953   .3091861    -1.04   0.300    -.9280905    .2860998
            state_12 |          0  (omitted)
            state_13 |  -.4447945   .3227283    -1.38   0.169     -1.07848    .1888912
            state_14 |   .0155218    .342311     0.05   0.964     -.656615    .6876586
            state_15 |  -.1810167   .3090412    -0.59   0.558    -.7878275     .425794
            state_16 |  -.0031201    .348236    -0.01   0.993     -.686891    .6806507
           failcheck |  -.1485954   .1546328    -0.96   0.337     -.452221    .1550303
               _cons |   -.942089   .6341452    -1.49   0.138     -2.18725    .3030723
--------------------------------------------------------------------------------------
(note: variable Var was str12, now str16 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       6.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2729
                                                Root MSE          =     .88047

--------------------------------------------------------------------------------------
                     |               Robust
    stdrefterror_inv |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |  -.0189556    .067455    -0.28   0.779    -.1514052    .1134941
               woman |  -.1938386   .0696085    -2.78   0.006    -.3305168   -.0571604
               age_1 |   .0167056   .2112477     0.08   0.937    -.3980851    .4314962
               age_2 |  -.0292616   .2037422    -0.14   0.886    -.4293149    .3707917
               age_3 |   .0794302   .2093512     0.38   0.705    -.3316365     .490497
               age_4 |   .1858621    .248703     0.75   0.455     -.302473    .6741972
               age_5 |          0  (omitted)
               age_6 |   .6087665   .4349984     1.40   0.162    -.2453646    1.462898
           religious |   .0384616   .0856484     0.45   0.654    -.1297114    .2066346
  otherminoritydummy |   .1294338   .0802709     1.61   0.107    -.0281803    .2870479
      ethnicminority |  -.3515869   .1573514    -2.23   0.026    -.6605506   -.0426233
raceminoritymajority |   .0259963    .139383     0.19   0.852    -.2476859    .2996786
           ideoscale |   .2561841   .0231972    11.04   0.000     .2106357    .3017325
             state_1 |  -.0986268   .3401646    -0.29   0.772    -.7665491    .5692956
             state_2 |  -.0587742   .3391378    -0.17   0.862    -.7246804     .607132
             state_3 |   .0298213   .3499378     0.09   0.932     -.657291    .7169337
             state_4 |  -.1118879   .3680836    -0.30   0.761    -.8346299    .6108542
             state_5 |   .4426452   .4104944     1.08   0.281    -.3633717    1.248662
             state_6 |   .0694374   .3826879     0.18   0.856    -.6819805    .8208554
            polint_1 |   .2045058   .2162967     0.95   0.345    -.2201986    .6292101
            polint_2 |   .1534062   .2017904     0.76   0.447    -.2428147    .5496271
            polint_3 |   .0920858   .2042295     0.45   0.652    -.3089242    .4930959
            polint_4 |          0  (omitted)
            income_1 |   .0691748   .2141274     0.32   0.747      -.35127    .4896196
            income_2 |   .0525486   .2129566     0.25   0.805    -.3655974    .4706946
            income_3 |   .0032359   .2092857     0.02   0.988    -.4077022    .4141739
            income_4 |   .0619405   .1991093     0.31   0.756    -.3290159     .452897
            income_5 |  -.0408134    .204224    -0.20   0.842    -.4418127    .3601859
            income_6 |   .1669967   .2249273     0.74   0.458    -.2746542    .6086475
            income_7 |          0  (omitted)
               edu_2 |  -.1934868   .3437914    -0.56   0.574    -.8685305     .481557
               edu_3 |  -.2101264   .3308705    -0.64   0.526    -.8597995    .4395468
               edu_4 |  -.1418041   .3339358    -0.42   0.671     -.797496    .5138878
               edu_5 |  -.2158395   .3409337    -0.63   0.527     -.885272    .4535931
               edu_6 |  -.6762107   .3637314    -1.86   0.063    -1.390407    .0379857
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |    -.05048   .3396072    -0.15   0.882    -.7173078    .6163479
             state_8 |  -.1678667   .4118188    -0.41   0.684     -.976484    .6407506
             state_9 |  -.0260524   .3442716    -0.08   0.940     -.702039    .6499343
            state_10 |  -.0930522   .3319697    -0.28   0.779    -.7448836    .5587791
            state_11 |  -.1527872   .3458602    -0.44   0.659    -.8318931    .5263187
            state_12 |          0  (omitted)
            state_13 |   -.129351   .3471369    -0.37   0.710    -.8109638    .5522617
            state_14 |    .003721   .3991975     0.01   0.993     -.780114    .7875559
            state_15 |   .3230977   .3583334     0.90   0.368    -.3804997    1.026695
            state_16 |  -.1759741   .4045185    -0.44   0.664     -.970257    .6183088
           failcheck |   .1973286   .1926582     1.02   0.306    -.1809611    .5756182
               _cons |  -.8377206   .5905407    -1.42   0.156    -1.997263     .321822
--------------------------------------------------------------------------------------
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =      10.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3394
                                                Root MSE          =     .83936

--------------------------------------------------------------------------------------
                     |               Robust
     stdrefcrime_inv |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0701952   .0649302     1.08   0.280    -.0572969    .1976873
               woman |  -.2624084   .0723562    -3.63   0.000    -.4044816   -.1203351
               age_1 |   .3887942   .1927176     2.02   0.044      .010388    .7672003
               age_2 |   .2128696   .1814769     1.17   0.241    -.1434653    .5692044
               age_3 |   .2391674    .190164     1.26   0.209    -.1342247    .6125595
               age_4 |   .0819291   .2304333     0.36   0.722     -.370533    .5343912
               age_5 |          0  (omitted)
               age_6 |   .3462699   .3498241     0.99   0.323    -.3406192    1.033159
           religious |  -.0987726   .0857213    -1.15   0.250    -.2670887    .0695435
  otherminoritydummy |   .1801254   .0866086     2.08   0.038     .0100671    .3501836
      ethnicminority |   .0818175   .1610466     0.51   0.612    -.2344018    .3980369
raceminoritymajority |    .234806   .1385484     1.69   0.091    -.0372375    .5068496
           ideoscale |   .2941997   .0215711    13.64   0.000     .2518441    .3365552
             state_1 |  -.1598382   .2635705    -0.61   0.544     -.677366    .3576895
             state_2 |  -.0836516   .2613464    -0.32   0.749    -.5968122    .4295091
             state_3 |  -.1560013   .2796311    -0.56   0.577    -.7050645    .3930618
             state_4 |  -.4340502   .2841706    -1.53   0.127    -.9920267    .1239264
             state_5 |   .3812759   .3463121     1.10   0.271    -.2987171    1.061269
             state_6 |    -.23818   .3010639    -0.79   0.429    -.8293272    .3529671
            polint_1 |  -.0078327   .2097239    -0.04   0.970    -.4196312    .4039658
            polint_2 |  -.0587572   .1975073    -0.30   0.766    -.4465681    .3290536
            polint_3 |   -.066288   .1989928    -0.33   0.739    -.4570157    .3244397
            polint_4 |          0  (omitted)
            income_1 |  -.3906202   .2030378    -1.92   0.055    -.7892905      .00805
            income_2 |  -.3805065   .2050473    -1.86   0.064    -.7831225    .0221094
            income_3 |  -.3386804   .2078557    -1.63   0.104    -.7468106    .0694499
            income_4 |  -.2653993   .1910198    -1.39   0.165    -.6404718    .1096732
            income_5 |  -.3881987   .1948415    -1.99   0.047    -.7707752   -.0056221
            income_6 |  -.1220427   .2216384    -0.55   0.582    -.5572358    .3131503
            income_7 |          0  (omitted)
               edu_2 |   .0843405   .2940767     0.29   0.774     -.493087    .6617681
               edu_3 |   .1084285   .2872088     0.38   0.706    -.4555137    .6723706
               edu_4 |   .2600331   .2906042     0.89   0.371    -.3105762    .8306423
               edu_5 |    .070701   .2944208     0.24   0.810    -.5074021    .6488041
               edu_6 |  -.2184094   .3251025    -0.67   0.502    -.8567568     .419938
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.0665355     .26304    -0.25   0.800    -.5830216    .4499506
             state_8 |   .1099235   .4422914     0.25   0.804    -.7585276    .9783746
             state_9 |  -.0258635   .2641365    -0.10   0.922    -.5445027    .4927756
            state_10 |  -.1448273   .2528227    -0.57   0.567    -.6412514    .3515968
            state_11 |  -.2826075   .2740347    -1.03   0.303    -.8206819     .255467
            state_12 |          0  (omitted)
            state_13 |  -.2878719   .2826336    -1.02   0.309    -.8428306    .2670867
            state_14 |  -.1281784   .3059344    -0.42   0.675    -.7288888     .472532
            state_15 |   .0911986   .2913196     0.31   0.754    -.4808154    .6632126
            state_16 |  -.0129394   .2946606    -0.04   0.965    -.5915135    .5656347
           failcheck |  -.0432114   .1481546    -0.29   0.771    -.3341169    .2476941
               _cons |  -1.331668   .5495012    -2.42   0.016    -2.410628   -.2527074
--------------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       9.14
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3331
                                                Root MSE          =     .84494

--------------------------------------------------------------------------------------
                     |               Robust
     stdrefmoney_inv |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0626422   .0655693     0.96   0.340     -.066105    .1913893
               woman |  -.1322428   .0682055    -1.94   0.053    -.2661661    .0016805
               age_1 |   .1785462   .1661829     1.07   0.283    -.1477584    .5048507
               age_2 |   .2935927   .1559098     1.88   0.060    -.0125403    .5997258
               age_3 |   .2712927   .1637153     1.66   0.098    -.0501666    .5927521
               age_4 |   .3183658   .2122414     1.50   0.134    -.0983759    .7351074
               age_5 |          0  (omitted)
               age_6 |   .1040476   .2681189     0.39   0.698    -.4224111    .6305063
           religious |  -.1044719   .0845146    -1.24   0.217    -.2704186    .0614748
  otherminoritydummy |   .1167917   .0839884     1.39   0.165    -.0481218    .2817052
      ethnicminority |  -.1187294   .1724487    -0.69   0.491    -.4573371    .2198782
raceminoritymajority |  -.1685305   .1504219    -1.12   0.263    -.4638879    .1268269
           ideoscale |   .3051431   .0219172    13.92   0.000     .2621081     .348178
             state_1 |  -.3303485   .3823698    -0.86   0.388    -1.081142     .420445
             state_2 |  -.3724942   .3836887    -0.97   0.332    -1.125877    .3808888
             state_3 |   -.442776   .3926307    -1.13   0.260    -1.213717     .328165
             state_4 |  -.7243166   .3921514    -1.85   0.065    -1.494317    .0456833
             state_5 |   .1828123   .4471394     0.41   0.683     -.695158    1.060783
             state_6 |  -.6413319   .3897028    -1.65   0.100    -1.406524      .12386
            polint_1 |  -.2657324   .2372526    -1.12   0.263    -.7315843    .2001196
            polint_2 |  -.2631269   .2255639    -1.17   0.244    -.7060276    .1797739
            polint_3 |  -.1889539   .2311342    -0.82   0.414    -.6427921    .2648844
            polint_4 |          0  (omitted)
            income_1 |   -.002064   .1878234    -0.01   0.991    -.3708604    .3667325
            income_2 |   .0008211   .1906076     0.00   0.997     -.373442    .3750842
            income_3 |   .0313132   .1933468     0.16   0.871    -.3483285    .4109549
            income_4 |   .1117207   .1758316     0.64   0.525    -.2335293    .4569707
            income_5 |  -.0840336   .1744265    -0.48   0.630    -.4265247    .2584575
            income_6 |   .0481518   .1977235     0.24   0.808    -.3400837    .4363873
            income_7 |          0  (omitted)
               edu_2 |  -.2202807   .2739982    -0.80   0.422    -.7582837    .3177222
               edu_3 |  -.2418269   .2659081    -0.91   0.363    -.7639448    .2802909
               edu_4 |  -.2377712   .2646809    -0.90   0.369    -.7574793    .2819368
               edu_5 |  -.4301966   .2733714    -1.57   0.116    -.9669687    .1065756
               edu_6 |  -.7374253   .3091202    -2.39   0.017    -1.344391   -.1304594
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.4112754   .3884333    -1.06   0.290    -1.173975    .3514238
             state_8 |   .1546163   .4365136     0.35   0.723      -.70249    1.011723
             state_9 |  -.4922673   .3836577    -1.28   0.200    -1.245589    .2610549
            state_10 |  -.4459825   .3773888    -1.18   0.238    -1.186996    .2950305
            state_11 |  -.5311198   .3866371    -1.37   0.170    -1.290292    .2280525
            state_12 |          0  (omitted)
            state_13 |  -.4286804   .4076517    -1.05   0.293    -1.229116    .3717548
            state_14 |  -.3186789   .4589275    -0.69   0.488    -1.219796    .5824377
            state_15 |  -.5084199   .3921164    -1.30   0.195    -1.278351    .2615112
            state_16 |  -.2248506   .4346296    -0.52   0.605    -1.078258    .6285564
           failcheck |  -.1456303   .1563198    -0.93   0.352    -.4525684    .1613079
               _cons |  -.0522861   .6164102    -0.08   0.932    -1.262624    1.158052
--------------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =      12.61
                                                Prob > F          =     0.0000
                                                R-squared         =     0.4321
                                                Root MSE          =     .77922

--------------------------------------------------------------------------------------
                     |               Robust
               stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0625849   .0595485     1.05   0.294    -.0543402      .17951
               woman |  -.2043984   .0636391    -3.21   0.001    -.3293556   -.0794413
               age_1 |    .163184   .1910294     0.85   0.393    -.2119074    .5382755
               age_2 |   .1393455   .1829217     0.76   0.446    -.2198262    .4985172
               age_3 |   .2117613   .1892223     1.12   0.263    -.1597817    .5833044
               age_4 |   .1514345    .243755     0.62   0.535    -.3271849     .630054
               age_5 |          0  (omitted)
               age_6 |   .4591531   .3744235     1.23   0.221    -.2760376    1.194344
           religious |  -.0752148   .0771568    -0.97   0.330    -.2267143    .0762846
  otherminoritydummy |   .1761576   .0747034     2.36   0.019     .0294755    .3228397
      ethnicminority |  -.0679252   .1460333    -0.47   0.642    -.3546656    .2188151
raceminoritymajority |   .0661503   .1281589     0.52   0.606    -.1854931    .3177936
           ideoscale |   .3523812   .0214335    16.44   0.000      .310296    .3944665
             state_1 |  -.2025872   .2756462    -0.73   0.463     -.743826    .3386515
             state_2 |  -.2075671   .2757114    -0.75   0.452    -.7489339    .3337998
             state_3 |  -.2527762   .2898032    -0.87   0.383    -.8218126    .3162602
             state_4 |  -.4613629   .2945614    -1.57   0.118    -1.039742    .1170164
             state_5 |    .359704   .3617149     0.99   0.320     -.350533    1.069941
             state_6 |  -.2787217    .293573    -0.95   0.343    -.8551602    .2977168
            polint_1 |  -.2301312   .2077454    -1.11   0.268    -.6380449    .1777826
            polint_2 |  -.1823457   .1955944    -0.93   0.352    -.5664006    .2017091
            polint_3 |  -.1852038     .19926    -0.93   0.353    -.5764562    .2060485
            polint_4 |          0  (omitted)
            income_1 |  -.1018941    .193384    -0.53   0.598    -.4816087    .2778205
            income_2 |  -.1101459   .1925977    -0.57   0.568    -.4883168    .2680249
            income_3 |  -.0245905   .1951089    -0.13   0.900    -.4076921     .358511
            income_4 |  -.0011427   .1818505    -0.01   0.995    -.3582111    .3559257
            income_5 |  -.1430127   .1814729    -0.79   0.431    -.4993396    .2133142
            income_6 |   .0636664   .2079332     0.31   0.760     -.344616    .4719488
            income_7 |          0  (omitted)
               edu_2 |  -.0046534   .3051548    -0.02   0.988    -.6038331    .5945262
               edu_3 |  -.0831978   .2984561    -0.28   0.781    -.6692244    .5028287
               edu_4 |   .0052775    .299978     0.02   0.986    -.5837374    .5942924
               edu_5 |   -.114702   .3080591    -0.37   0.710    -.7195844    .4901804
               edu_6 |  -.5618193   .3293458    -1.71   0.088    -1.208499      .08486
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.1454024   .2807145    -0.52   0.605    -.6965929    .4057882
             state_8 |  -.1129063   .2945051    -0.38   0.702     -.691175    .4653623
             state_9 |  -.2292188   .2773327    -0.83   0.409     -.773769    .3153314
            state_10 |  -.2342174   .2687608    -0.87   0.384    -.7619364    .2935017
            state_11 |  -.3905673   .2822165    -1.38   0.167    -.9447069    .1635724
            state_12 |          0  (omitted)
            state_13 |  -.3897819   .2936191    -1.33   0.185    -.9663109    .1867472
            state_14 |  -.1318939    .350273    -0.38   0.707    -.8196644    .5558766
            state_15 |  -.0817827   .2845274    -0.29   0.774      -.64046    .4768945
            state_16 |  -.1271698   .3291692    -0.39   0.699    -.7735024    .5191628
           failcheck |  -.0414281   .1413477    -0.29   0.770    -.3189681    .2361119
               _cons |  -.9600951   .5538117    -1.73   0.083    -2.047519    .1273291
--------------------------------------------------------------------------------------
(note: variable Var was str5, now str16 to accommodate using data's values)
file allvar.dta saved

. 
. 
. * demo std
. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment, r
  3.         regsave treatment using "allvar.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Controls, 0
> , Facet, 4)
  4. }

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.09
                                                Prob > F          =     0.7590
                                                R-squared         =     0.0001
                                                Root MSE          =     1.0006

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0228561   .0744791     0.31   0.759     -.123366    .1690783
       _cons |  -.0114281   .0532311    -0.21   0.830    -.1159347    .0930786
------------------------------------------------------------------------------
(note: variable Var was str10, now str16 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       0.75
                                                Prob > F          =     0.3880
                                                R-squared         =     0.0010
                                                Root MSE          =     1.0002

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0643067   .0744454     0.86   0.388    -.0818493    .2104627
       _cons |  -.0321533   .0515651    -0.62   0.533    -.1333892    .0690825
------------------------------------------------------------------------------
(note: variable Var was str11, now str16 to accommodate using data's values)
file allvar.dta saved

Linear regression                               Number of obs     =        722
                                                F(1, 720)         =       1.12
                                                Prob > F          =     0.2894
                                                R-squared         =     0.0016
                                                Root MSE          =     .99991

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0789085   .0744259     1.06   0.289    -.0672092    .2250262
       _cons |  -.0394542   .0535543    -0.74   0.462    -.1445954     .065687
------------------------------------------------------------------------------
(note: variable Var was str13, now str16 to accommodate using data's values)
file allvar.dta saved

. 
. 
. 
. 
. local covar woman age_1 age_2 age_3 age_4 age_5 age_6 religious otherminoritydummy ethnicminority raceminoritymajority   ///
> ideoscale state_1 state_2 state_3 state_4 state_5 state_6 polint_1 polint_2 /// 
> polint_3 polint_4 income_1 income_2 income_3 income_4 income_5 income_6 income_7  ///
> edu_2 edu_3 edu_4 edu_5 edu_6 state_1 state_2 state_3 state_4 state_5 state_6 ///
> state_7 state_8 state_9 state_10 state_11 state_12 state_13 state_14 state_15 state_16 failcheck

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment `covar', r
  3.         regsave treatment using "allvar.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Controls, 1
> , Facet, 4)
  4. }
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       2.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1268
                                                Root MSE          =      .9665

--------------------------------------------------------------------------------------
                     |               Robust
          stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0363011   .0744739     0.49   0.626    -.1099304    .1825327
               woman |   .2515533   .0760947     3.31   0.001     .1021394    .4009673
               age_1 |  -.1023667   .1776386    -0.58   0.565    -.4511648    .2464315
               age_2 |  -.1859977   .1607195    -1.16   0.248    -.5015747    .1295794
               age_3 |  -.2732285   .1739115    -1.57   0.117    -.6147084    .0682514
               age_4 |    .012194   .1920706     0.06   0.949    -.3649418    .3893299
               age_5 |          0  (omitted)
               age_6 |   .3989657   .2104836     1.90   0.058    -.0143245     .812256
           religious |   .0840777   .0921164     0.91   0.362    -.0967954    .2649508
  otherminoritydummy |  -.1298299   .1007842    -1.29   0.198    -.3277225    .0680627
      ethnicminority |   .1073175   .2278362     0.47   0.638     -.340045      .55468
raceminoritymajority |    .128639   .1737956     0.74   0.459    -.2126134    .4698914
           ideoscale |  -.0942058   .0281248    -3.35   0.001    -.1494296    -.038982
             state_1 |  -.2795998   .1512804    -1.85   0.065     -.576643    .0174433
             state_2 |   -.404755   .1560376    -2.59   0.010     -.711139    -.098371
             state_3 |   -.288363   .1818917    -1.59   0.113    -.6455123    .0687864
             state_4 |   -.516884   .2549622    -2.03   0.043    -1.017509   -.0162588
             state_5 |  -.6804668   .3085444    -2.21   0.028    -1.286302   -.0746315
             state_6 |  -.1429672   .2024944    -0.71   0.480    -.5405705    .2546361
            polint_1 |   .4066879   .2651578     1.53   0.126    -.1139566    .9273324
            polint_2 |   .4437854   .2522245     1.76   0.079    -.0514643    .9390351
            polint_3 |   .3652161   .2546011     1.43   0.152       -.1347    .8651323
            polint_4 |          0  (omitted)
            income_1 |  -.3128782     .19711    -1.59   0.113     -.699909    .0741527
            income_2 |   -.280137   .1985994    -1.41   0.159    -.6700922    .1098182
            income_3 |  -.1346433   .1913037    -0.70   0.482    -.5102733    .2409868
            income_4 |  -.0660278   .1662746    -0.40   0.691    -.3925126    .2604569
            income_5 |   .1133258    .166452     0.68   0.496    -.2135071    .4401588
            income_6 |  -.3716021   .2130747    -1.74   0.082    -.7899799    .0467757
            income_7 |          0  (omitted)
               edu_2 |  -.0550973   .4057634    -0.14   0.892    -.8518246    .7416301
               edu_3 |   .3220165   .3919374     0.82   0.412    -.4475631    1.091596
               edu_4 |   .3141978   .3932758     0.80   0.425    -.4580098    1.086405
               edu_5 |   .4224012   .3968638     1.06   0.288    -.3568515    1.201654
               edu_6 |   .0423972    .453379     0.09   0.926    -.8478247    .9326191
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.4669639   .1728585    -2.70   0.007    -.8063762   -.1275517
             state_8 |  -.0127825   .2158446    -0.06   0.953    -.4365993    .4110342
             state_9 |  -.3552533   .1615767    -2.20   0.028    -.6725136    -.037993
            state_10 |  -.3437223   .1291545    -2.66   0.008    -.5973207    -.090124
            state_11 |  -.4242298   .1961359    -2.16   0.031     -.809348   -.0391117
            state_12 |          0  (omitted)
            state_13 |  -.0496071    .164486    -0.30   0.763    -.3725799    .2733656
            state_14 |  -1.049862    .372828    -2.82   0.005     -1.78192   -.3178044
            state_15 |  -.5281454   .2068777    -2.55   0.011    -.9343555   -.1219354
            state_16 |     -.5722   .2892269    -1.98   0.048    -1.140105   -.0042952
           failcheck |    .046539   .1945336     0.24   0.811     -.335433    .4285111
               _cons |  -.0569177   .5990838    -0.10   0.924    -1.233235    1.119399
--------------------------------------------------------------------------------------
(note: variable Var was str10, now str16 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       3.05
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1325
                                                Root MSE          =     .96203

--------------------------------------------------------------------------------------
                     |               Robust
         stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0421672   .0734536     0.57   0.566    -.1020609    .1863954
               woman |   .2500244   .0814762     3.07   0.002     .0900437    .4100051
               age_1 |  -.1708919   .2231241    -0.77   0.444     -.609002    .2672182
               age_2 |   -.165169   .2140953    -0.77   0.441    -.5855508    .2552128
               age_3 |   .0293933   .2272004     0.13   0.897    -.4167207    .4755074
               age_4 |   .0265711   .2754368     0.10   0.923    -.5142565    .5673987
               age_5 |          0  (omitted)
               age_6 |  -.3882159   .4100686    -0.95   0.344    -1.193397    .4169649
           religious |   .0844844   .0940811     0.90   0.370    -.1002465    .2692152
  otherminoritydummy |  -.0186191   .0977954    -0.19   0.849    -.2106431    .1734048
      ethnicminority |  -.1574337   .2177588    -0.72   0.470    -.5850091    .2701416
raceminoritymajority |  -.1064935   .1652023    -0.64   0.519    -.4308726    .2178856
           ideoscale |  -.1275279   .0224997    -5.67   0.000    -.1717066   -.0833492
             state_1 |   .1779194     .35559     0.50   0.617    -.5202912    .8761301
             state_2 |  -.0073414   .3499649    -0.02   0.983     -.694507    .6798242
             state_3 |   .2502748   .3841615     0.65   0.515    -.5040367    1.004586
             state_4 |   .0623268   .4023575     0.15   0.877     -.727713    .8523667
             state_5 |    .088741   .4342468     0.20   0.838    -.7639143    .9413962
             state_6 |   .2217094   .4230148     0.52   0.600    -.6088917     1.05231
            polint_1 |   .1582933   .2319869     0.68   0.495    -.2972192    .6138058
            polint_2 |    .289021   .2193086     1.32   0.188    -.1415973    .7196393
            polint_3 |   .2821651   .2229775     1.27   0.206    -.1556572    .7199875
            polint_4 |          0  (omitted)
            income_1 |  -.3522038   .2139623    -1.65   0.100    -.7723245     .067917
            income_2 |   -.365984   .2227795    -1.64   0.101    -.8034174    .0714495
            income_3 |  -.4786292   .2126188    -2.25   0.025     -.896112   -.0611464
            income_4 |  -.2764738   .2015372    -1.37   0.171    -.6721975    .1192499
            income_5 |  -.1256195   .2075096    -0.61   0.545    -.5330702    .2818311
            income_6 |  -.3392287   .2212578    -1.53   0.126    -.7736743    .0952169
            income_7 |          0  (omitted)
               edu_2 |  -.0810273   .2897642    -0.28   0.780    -.6499871    .4879325
               edu_3 |   .1187298   .2773587     0.43   0.669    -.4258715     .663331
               edu_4 |   .0321562   .2781031     0.12   0.908    -.5139067    .5782192
               edu_5 |   .0950311    .284337     0.33   0.738    -.4632723    .6533345
               edu_6 |   .3109754   .3559837     0.87   0.383    -.3880081    1.009959
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |  -.0166038   .3579651    -0.05   0.963    -.7194779    .6862703
             state_8 |  -.1947073   .4836091    -0.40   0.687    -1.144287    .7548723
             state_9 |    .331366   .3625152     0.91   0.361    -.3804424    1.043174
            state_10 |   .1955989   .3492225     0.56   0.576     -.490109    .8813067
            state_11 |   .2125376   .3843623     0.55   0.580    -.5421682    .9672433
            state_12 |          0  (omitted)
            state_13 |    .554662   .3961181     1.40   0.162    -.2231265     1.33245
            state_14 |   .4310856   .4724412     0.91   0.362    -.4965654    1.358737
            state_15 |  -.0296408   .3700189    -0.08   0.936    -.7561828    .6969012
            state_16 |   .2658605   .4014603     0.66   0.508    -.5224176    1.054139
           failcheck |   .0710553   .1988518     0.36   0.721    -.3193955    .4615061
               _cons |   .4354736   .6709817     0.65   0.517    -.8820171    1.752964
--------------------------------------------------------------------------------------
(note: variable Var was str11, now str16 to accommodate using data's values)
file allvar.dta saved
note: age_5 omitted because of collinearity
note: polint_4 omitted because of collinearity
note: income_7 omitted because of collinearity
note: state_1 omitted because of collinearity
note: state_2 omitted because of collinearity
note: state_3 omitted because of collinearity
note: state_4 omitted because of collinearity
note: state_5 omitted because of collinearity
note: state_6 omitted because of collinearity
note: state_12 omitted because of collinearity

Linear regression                               Number of obs     =        710
                                                F(42, 667)        =       1.64
                                                Prob > F          =     0.0077
                                                R-squared         =     0.0884
                                                Root MSE          =     .98378

--------------------------------------------------------------------------------------
                     |               Robust
       stddonationyn |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
           treatment |   .0818032   .0748839     1.09   0.275    -.0652333    .2288397
               woman |   .2809274   .0813022     3.46   0.001     .1212883    .4405664
               age_1 |  -.1124002   .2155048    -0.52   0.602    -.5355497    .3107492
               age_2 |  -.1586092   .2039944    -0.78   0.437    -.5591577    .2419393
               age_3 |  -.1406285   .2116243    -0.66   0.507    -.5561585    .2749015
               age_4 |   .0240663   .2562533     0.09   0.925     -.479094    .5272265
               age_5 |          0  (omitted)
               age_6 |  -.1476629   .5252256    -0.28   0.779    -1.178957    .8836316
           religious |   .1102786   .0979119     1.13   0.260     -.081974    .3025313
  otherminoritydummy |  -.0629051    .097104    -0.65   0.517    -.2535714    .1277613
      ethnicminority |  -.0162359   .2199929    -0.07   0.941    -.4481979    .4157261
raceminoritymajority |    .001053   .1668485     0.01   0.995    -.3265585    .3286644
           ideoscale |  -.1036438    .024845    -4.17   0.000    -.1524276     -.05486
             state_1 |   .0750685   .3506776     0.21   0.831    -.6134965    .7636334
             state_2 |   .0388702   .3532975     0.11   0.912     -.654839    .7325793
             state_3 |   .0536915   .3781473     0.14   0.887     -.688811     .796194
             state_4 |  -.0047292   .3841799    -0.01   0.990    -.7590769    .7496184
             state_5 |  -.3408627   .4419021    -0.77   0.441    -1.208549    .5268239
             state_6 |   .1781998   .4188899     0.43   0.671    -.6443017    1.000701
            polint_1 |   .3146679   .2465497     1.28   0.202    -.1694391     .798775
            polint_2 |   .4380941   .2290408     1.91   0.056    -.0116336    .8878219
            polint_3 |   .4609021   .2315335     1.99   0.047     .0062798    .9155243
            polint_4 |          0  (omitted)
            income_1 |  -.0520867   .2088721    -0.25   0.803    -.4622127    .3580392
            income_2 |  -.0449259   .2137817    -0.21   0.834    -.4646921    .3748403
            income_3 |  -.2131619   .2149797    -0.99   0.322    -.6352803    .2089565
            income_4 |   .0085722   .1910272     0.04   0.964    -.3665149    .3836592
            income_5 |   .1100618   .1975652     0.56   0.578    -.2778629    .4979865
            income_6 |   .0474727   .2211061     0.21   0.830    -.3866751    .4816205
            income_7 |          0  (omitted)
               edu_2 |  -.2275783    .350449    -0.65   0.516    -.9156943    .4605377
               edu_3 |  -.1302209   .3357457    -0.39   0.698    -.7894667    .5290248
               edu_4 |  -.2046928    .337986    -0.61   0.545    -.8683375    .4589519
               edu_5 |  -.1175623   .3425501    -0.34   0.732    -.7901686     .555044
               edu_6 |  -.1256227   .3948206    -0.32   0.750    -.9008636    .6496181
             state_1 |          0  (omitted)
             state_2 |          0  (omitted)
             state_3 |          0  (omitted)
             state_4 |          0  (omitted)
             state_5 |          0  (omitted)
             state_6 |          0  (omitted)
             state_7 |   .0207962   .3575435     0.06   0.954    -.6812501    .7228424
             state_8 |   -.198343   .4985253    -0.40   0.691    -1.177211    .7805249
             state_9 |   .0894687   .3547131     0.25   0.801      -.60702    .7859575
            state_10 |    .079541   .3428025     0.23   0.817    -.5935609    .7526429
            state_11 |  -.0640682   .3729314    -0.17   0.864     -.796329    .6681927
            state_12 |          0  (omitted)
            state_13 |   .2491025   .3741134     0.67   0.506    -.4854793    .9836843
            state_14 |  -.1804934   .4348925    -0.42   0.678    -1.034417    .6734297
            state_15 |  -.0156599   .3808994    -0.04   0.967    -.7635662    .7322464
            state_16 |   .1334928   .4176201     0.32   0.749    -.6865157    .9535012
           failcheck |  -.0401714   .2000512    -0.20   0.841    -.4329772    .3526345
               _cons |   .0404193   .6637764     0.06   0.951    -1.262924    1.343762
--------------------------------------------------------------------------------------
(note: variable Var was str13, now str16 to accommodate using data's values)
file allvar.dta saved

. 
. 
. 
. save stones.dta, replace
file stones.dta saved

. 
. use allvar.dta, clear

. drop variable

. gen var2 = .
(52 missing values generated)

. replace var2 = 1 if Var== "stdjoy"
(2 real changes made)

. replace var2 = 2 if Var== "stdpride"
(2 real changes made)

. replace var2 = 3 if Var== "stdsadness"
(2 real changes made)

. replace var2 = 4 if Var== "stdhostility"
(2 real changes made)

. replace var2 = 5 if Var== "stdfear"
(2 real changes made)

. replace var2 = 6 if Var== "stddisgust"
(2 real changes made)

. replace var2 = 7 if Var== "stdanger"
(2 real changes made)

. replace var2 = 8 if Var== "stddisabled"
(2 real changes made)

. replace var2 = 9 if Var== "stdjewish"
(2 real changes made)

. replace var2 = 10 if Var== "stdasian"
(2 real changes made)

. replace var2 = 11 if Var== "stdblack"
(2 real changes made)

. replace var2 = 12 if Var== "stdlgb"
(2 real changes made)

. replace var2 = 13 if Var== "stdmuslim"
(2 real changes made)

. replace var2 = 14 if Var== "stdintersex"
(2 real changes made)

. replace var2 = 15 if Var== "stdtrans"
(2 real changes made)

. replace var2 = 16 if Var== "stdroma"
(2 real changes made)

. replace var2 = 17 if Var== "stdwitness"
(2 real changes made)

. replace var2 = 18 if Var== "stdc1"
(2 real changes made)

. replace var2 = 19 if Var== "stdrefrights"
(2 real changes made)

. replace var2 = 20 if Var== "stdrefterror_inv"
(2 real changes made)

. replace var2 = 21 if Var== "stdrefcrime_inv"
(2 real changes made)

. replace var2 = 22 if Var== "stdrefmoney_inv"
(2 real changes made)

. replace var2 = 23 if Var== "stdr1"
(2 real changes made)

. replace var2 = 24 if Var== "stdprodemo"
(2 real changes made)

. replace var2 = 25 if Var== "stddonationyn"
(2 real changes made)

. replace var2 = 26 if Var== "stdquantity"
(2 real changes made)

. tab var2

       var2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          2        3.85        3.85
          2 |          2        3.85        7.69
          3 |          2        3.85       11.54
          4 |          2        3.85       15.38
          5 |          2        3.85       19.23
          6 |          2        3.85       23.08
          7 |          2        3.85       26.92
          8 |          2        3.85       30.77
          9 |          2        3.85       34.62
         10 |          2        3.85       38.46
         11 |          2        3.85       42.31
         12 |          2        3.85       46.15
         13 |          2        3.85       50.00
         14 |          2        3.85       53.85
         15 |          2        3.85       57.69
         16 |          2        3.85       61.54
         17 |          2        3.85       65.38
         18 |          2        3.85       69.23
         19 |          2        3.85       73.08
         20 |          2        3.85       76.92
         21 |          2        3.85       80.77
         22 |          2        3.85       84.62
         23 |          2        3.85       88.46
         24 |          2        3.85       92.31
         25 |          2        3.85       96.15
         26 |          2        3.85      100.00
------------+-----------------------------------
      Total |         52      100.00

. 
. save allvar.dta, replace
file allvar.dta saved

. 
. use stones.dta, clear

. 
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. * ········  Figure 3 and 4: Heterogeneous Treatment Effects  ················· *
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. 
. * Political Interest *
. * generate variable for high and low political interest * 
. 
. gen hlpolint = .
(722 missing values generated)

. replace hlpolint = 0 if polint == 1 | polint == 2 
(497 real changes made)

. replace hlpolint = 1 if polint == 3 | polint == 4
(225 real changes made)

. gen treat_hlpolint = treatment * hlpolint

. 
. * reference category is high
. 
. save stones.dta, replace
file stones.dta saved

. 
. clear

. gen variable = .

. save hte_hlpolint.dta, replace
(note: dataset contains 0 observations)
(note: file hte_hlpolint.dta not found)
file hte_hlpolint.dta saved

. use stones.dta, clear

. 
. 
. *emotions std
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment hlpolint treat_hlpolint, r
  3.         regsave treat_hlpolint using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 
> 1, Controls, 0, Facet, 1, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      47.73
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1677
                                                Root MSE          =     .91423

--------------------------------------------------------------------------------
               |               Robust
      stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .8664919   .0843614    10.27   0.000     .7008673    1.032116
      hlpolint |  -.0235361   .0750162    -0.31   0.754    -.1708134    .1237413
treat_hlpolint |  -.2107229   .1417892    -1.49   0.138    -.4890939    .0676481
         _cons |  -.3943904   .0479899    -8.22   0.000    -.4886078    -.300173
--------------------------------------------------------------------------------
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      63.86
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2098
                                                Root MSE          =      .8908

--------------------------------------------------------------------------------
               |               Robust
        stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |  -.9757883   .0793523   -12.30   0.000    -1.131578    -.819998
      hlpolint |   -.133087   .0931415    -1.43   0.153    -.3159494    .0497753
treat_hlpolint |   .2094042   .1444973     1.45   0.148    -.0742834    .4930919
         _cons |    .498045   .0523269     9.52   0.000      .395313    .6007769
--------------------------------------------------------------------------------
(note: variable Var was str6, now str8 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       3.32
                                                Prob > F          =     0.0195
                                                R-squared         =     0.0137
                                                Root MSE          =      .9952

--------------------------------------------------------------------------------
               |               Robust
       stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .2697533   .0891962     3.02   0.003     .0946367    .4448699
      hlpolint |    .105443   .1153728     0.91   0.361    -.1210654    .3319514
treat_hlpolint |  -.3338773   .1595203    -2.09   0.037    -.6470593   -.0206954
         _cons |  -.1177934   .0621953    -1.89   0.059    -.2398999     .004313
--------------------------------------------------------------------------------
(note: variable Var was str7, now str8 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      33.11
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1210
                                                Root MSE          =      .9395

--------------------------------------------------------------------------------
               |               Robust
      stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |  -.7278852   .0848086    -8.58   0.000    -.8943876   -.5613827
      hlpolint |  -.0428533   .1086473    -0.39   0.693    -.2561577    .1704511
treat_hlpolint |   .1122496   .1505043     0.75   0.456    -.1832315    .4077307
         _cons |   .3605063   .0648473     5.56   0.000     .2331933    .4878194
--------------------------------------------------------------------------------
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      47.01
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1624
                                                Root MSE          =     .91711

--------------------------------------------------------------------------------
               |               Robust
    stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .9084658   .0811137    11.20   0.000     .7492175    1.067714
      hlpolint |   .1419782   .0924028     1.54   0.125    -.0394338    .3233902
treat_hlpolint |  -.4189891   .1502385    -2.79   0.005    -.7139483   -.1240299
         _cons |  -.4358039   .0521916    -8.35   0.000    -.5382704   -.3333375
--------------------------------------------------------------------------------
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      46.83
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1804
                                                Root MSE          =      .9072

--------------------------------------------------------------------------------
               |               Robust
    stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .9322673    .085497    10.90   0.000     .7644134    1.100121
      hlpolint |  -.0019347   .0554198    -0.03   0.972     -.110739    .1068696
treat_hlpolint |  -.4645616   .1350482    -3.44   0.001    -.7296982    -.199425
         _cons |  -.3960395   .0336503   -11.77   0.000    -.4621043   -.3299747
--------------------------------------------------------------------------------
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      11.19
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0457
                                                Root MSE          =      .9789

--------------------------------------------------------------------------------
               |               Robust
  stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .4572838    .088839     5.15   0.000     .2828684    .6316991
      hlpolint |   -.012915   .0913685    -0.14   0.888    -.1922964    .1664663
treat_hlpolint |  -.1399688   .1549576    -0.90   0.367    -.4441929    .1642553
         _cons |    -.20368   .0529976    -3.84   0.000    -.3077287   -.0996313
--------------------------------------------------------------------------------
file hte_hlpolint.dta saved

. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if hlpolint == 1 , r
  3.         regsave treatment using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Co
> ntrols, 0, Facet, 1, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =      33.00
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1331
                                                Root MSE          =     .83998

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .6557689   .1141543     5.74   0.000     .4308097    .8807282
       _cons |  -.4179265   .0577549    -7.24   0.000    -.5317417   -.3041113
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =      40.14
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1541
                                                Root MSE          =     .90119

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.766384   .1209626    -6.34   0.000     -1.00476   -.5280081
       _cons |   .3649579   .0771836     4.73   0.000     .2128554    .5170605
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.23
                                                Prob > F          =     0.6288
                                                R-squared         =     0.0010
                                                Root MSE          =     .99752

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0641241   .1324759    -0.48   0.629    -.3251888    .1969407
       _cons |  -.0123505   .0973372    -0.13   0.899    -.2041689     .179468
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =      24.43
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0986
                                                Root MSE          =      .9342

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.6156355   .1245443    -4.94   0.000    -.8610699   -.3702012
       _cons |    .317653   .0873198     3.64   0.000     .1455755    .4897305
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =      14.93
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0639
                                                Root MSE          =     .94039

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4894767   .1266736     3.86   0.000     .2398463    .7391072
       _cons |  -.2938257   .0763804    -3.85   0.000    -.4443454   -.1433061
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =      19.95
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0859
                                                Root MSE          =     .76547

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4677057   .1047149     4.47   0.000     .2613483    .6740631
       _cons |  -.3979743   .0441086    -9.02   0.000    -.4848972   -.3110513
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       6.23
                                                Prob > F          =     0.0133
                                                R-squared         =     0.0277
                                                Root MSE          =     .94259

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .317315   .1271768     2.50   0.013     .0666929    .5679371
       _cons |   -.216595   .0745532    -2.91   0.004    -.3635139   -.0696761
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
file hte_hlpolint.dta saved

. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if hlpolint == 0, r
  3.         regsave treatment using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Co
> ntrols, 0, Facet, 1, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =     105.66
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1740
                                                Root MSE          =     .94578

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8664919   .0842972    10.28   0.000     .7008674    1.032116
       _cons |  -.3943904   .0479534    -8.22   0.000    -.4886077   -.3001731
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =     151.44
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2333
                                                Root MSE          =     .88607

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.9757883   .0792919   -12.31   0.000    -1.131578   -.8199981
       _cons |    .498045    .052287     9.53   0.000     .3953131    .6007768
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       9.16
                                                Prob > F          =     0.0026
                                                R-squared         =     0.0181
                                                Root MSE          =     .99415

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2697533   .0891283     3.03   0.003     .0946368    .4448698
       _cons |  -.1177934    .062148    -1.90   0.059    -.2398998     .004313
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =      73.77
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1303
                                                Root MSE          =     .94187

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.7278852    .084744    -8.59   0.000    -.8943875   -.5613829
       _cons |   .3605063   .0647979     5.56   0.000     .2331934    .4878193
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =     125.63
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2013
                                                Root MSE          =     .90642

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .9084658   .0810519    11.21   0.000     .7492176    1.067714
       _cons |  -.4358039   .0521519    -8.36   0.000    -.5382703   -.3333375
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =     119.08
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1900
                                                Root MSE          =     .96427

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .9322673   .0854319    10.91   0.000     .7644135    1.100121
       _cons |  -.3960395   .0336247   -11.78   0.000    -.4621043   -.3299748
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =      26.54
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0503
                                                Root MSE          =     .99483

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4572838   .0887714     5.15   0.000     .2828686     .631699
       _cons |    -.20368   .0529572    -3.85   0.000    -.3077286   -.0996313
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
file hte_hlpolint.dta saved

. 
. 
. 
. 
. * coworkers std
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment hlpolint treat_hlpolint, r
  3.         regsave treat_hlpolint using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model,
>  1, Controls, 0, Facet, 2, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.56
                                                Prob > F          =     0.1981
                                                R-squared         =     0.0080
                                                Root MSE          =     .99809

--------------------------------------------------------------------------------
               |               Robust
   stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |  -.0016845   .0868066    -0.02   0.985    -.1721097    .1687407
      hlpolint |  -.2453751   .1215991    -2.02   0.044    -.4841074   -.0066429
treat_hlpolint |   .2296394   .1654932     1.39   0.166     -.095269    .5545477
         _cons |   .0429591   .0615246     0.70   0.485    -.0778306    .1637487
--------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.23
                                                Prob > F          =     0.8737
                                                R-squared         =     0.0010
                                                Root MSE          =     1.0016

--------------------------------------------------------------------------------
               |               Robust
     stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   -.041768     .08705    -0.48   0.632    -.2126709    .1291348
      hlpolint |  -.0915866   .1191531    -0.77   0.442    -.3255166    .1423435
treat_hlpolint |    .076135   .1664334     0.46   0.647    -.2506192    .4028892
         _cons |   .0380369   .0610479     0.62   0.533    -.0818168    .1578907
--------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.22
                                                Prob > F          =     0.8815
                                                R-squared         =     0.0009
                                                Root MSE          =     1.0016

--------------------------------------------------------------------------------
               |               Robust
      stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |  -.0683421   .0901882    -0.76   0.449    -.2454063    .1087221
      hlpolint |   -.018002   .1142799    -0.16   0.875    -.2423646    .2063606
treat_hlpolint |   .0309541    .159284     0.19   0.846    -.2817639    .3436721
         _cons |   .0351508   .0605122     0.58   0.561    -.0836511    .1539528
--------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.31
                                                Prob > F          =     0.8163
                                                R-squared         =     0.0013
                                                Root MSE          =     1.0014

--------------------------------------------------------------------------------
               |               Robust
      stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |  -.0740134   .0914384    -0.81   0.419     -.253532    .1055052
      hlpolint |  -.0187594   .1053282    -0.18   0.859    -.2255474    .1880286
treat_hlpolint |   .0097036   .1573268     0.06   0.951     -.299172    .3185793
         _cons |   .0414013   .0617141     0.67   0.503    -.0797604    .1625629
--------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.59
                                                Prob > F          =     0.6236
                                                R-squared         =     0.0024
                                                Root MSE          =     1.0009

--------------------------------------------------------------------------------
               |               Robust
        stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   -.118263   .0896163    -1.32   0.187    -.2942043    .0576782
      hlpolint |  -.0637262   .1107646    -0.58   0.565    -.2811875    .1537351
treat_hlpolint |   .1216236   .1605153     0.76   0.449    -.1935117     .436759
         _cons |   .0607978   .0588271     1.03   0.302     -.054696    .1762915
--------------------------------------------------------------------------------
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.25
                                                Prob > F          =     0.8619
                                                R-squared         =     0.0012
                                                Root MSE          =     1.0015

--------------------------------------------------------------------------------
               |               Robust
     stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |  -.0148971    .088029    -0.17   0.866     -.187722    .1579278
      hlpolint |   .0184131   .1087873     0.17   0.866     -.195166    .2319922
treat_hlpolint |  -.0998259    .165887    -0.60   0.548    -.4255074    .2258557
         _cons |   .0166428   .0638043     0.26   0.794    -.1086226    .1419081
--------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.25
                                                Prob > F          =     0.8589
                                                R-squared         =     0.0011
                                                Root MSE          =     1.0016

--------------------------------------------------------------------------------
               |               Robust
   stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   -.077662   .0903697    -0.86   0.390    -.2550825    .0997586
      hlpolint |   -.033069   .1116948    -0.30   0.767    -.2523565    .1862184
treat_hlpolint |    .085643    .160063     0.54   0.593    -.2286044    .3998904
         _cons |   .0363256   .0648637     0.56   0.576    -.0910196    .1636708
--------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.37
                                                Prob > F          =     0.7782
                                                R-squared         =     0.0015
                                                Root MSE          =     1.0013

--------------------------------------------------------------------------------
               |               Robust
      stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |  -.0524158    .089944    -0.58   0.560    -.2290005    .1241688
      hlpolint |  -.0928389   .1162807    -0.80   0.425    -.3211296    .1354518
treat_hlpolint |   .1674682   .1602602     1.04   0.296    -.1471664    .4821027
         _cons |   .0300891   .0638731     0.47   0.638    -.0953112    .1554893
--------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.08
                                                Prob > F          =     0.9730
                                                R-squared         =     0.0003
                                                Root MSE          =     1.0019

--------------------------------------------------------------------------------
               |               Robust
       stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .0117163   .0926895     0.13   0.899    -.1702585    .1936911
      hlpolint |   .0510917    .109315     0.47   0.640    -.1635236    .2657069
treat_hlpolint |  -.0441808   .1549964    -0.29   0.776     -.348481    .2601194
         _cons |  -.0151713   .0671752    -0.23   0.821    -.1470546     .116712
--------------------------------------------------------------------------------
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.74
                                                Prob > F          =     0.1573
                                                R-squared         =     0.0071
                                                Root MSE          =     .99854

--------------------------------------------------------------------------------
               |               Robust
    stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .1244017   .0896197     1.39   0.166    -.0515463    .3003497
      hlpolint |   .0915804   .1171276     0.78   0.435    -.1383731    .3215338
treat_hlpolint |   .0365427    .160436     0.23   0.820     -.278437    .3515223
         _cons |  -.0962066   .0662735    -1.45   0.147    -.2263197    .0339064
--------------------------------------------------------------------------------
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.14
                                                Prob > F          =     0.9387
                                                R-squared         =     0.0005
                                                Root MSE          =     1.0018

--------------------------------------------------------------------------------
               |               Robust
         stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |  -.0510073   .0893002    -0.57   0.568     -.226328    .1243133
      hlpolint |   -.052776   .1110265    -0.48   0.635    -.2707514    .1651994
treat_hlpolint |   .0732183   .1620022     0.45   0.651    -.2448363    .3912729
         _cons |   .0309982   .0606255     0.51   0.609    -.0880262    .1500225
--------------------------------------------------------------------------------
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment if hlpolint == 1, r
  3.         regsave treatment using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, C
> ontrols, 0, Facet, 2, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       2.61
                                                Prob > F          =     0.1077
                                                R-squared         =     0.0114
                                                Root MSE          =     1.0639

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2279549   .1411371     1.62   0.108    -.0501782    .5060879
       _cons |  -.2024161    .105063    -1.93   0.055    -.4094594    .0046273
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.06
                                                Prob > F          =     0.8091
                                                R-squared         =     0.0003
                                                Root MSE          =     1.0683

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .034367   .1420928     0.24   0.809    -.2456494    .3143834
       _cons |  -.0535496   .1024987    -0.52   0.602    -.2555397    .1484404
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.08
                                                Prob > F          =     0.7765
                                                R-squared         =     0.0004
                                                Root MSE          =      .9907

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.037388   .1315132    -0.28   0.776    -.2965556    .2217796
       _cons |   .0171488   .0971078     0.18   0.860    -.1742174    .2085151
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.25
                                                Prob > F          =     0.6165
                                                R-squared         =     0.0011
                                                Root MSE          =     .95831

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0643098   .1282425    -0.50   0.617     -.317032    .1884125
       _cons |   .0226419   .0854986     0.26   0.791    -.1458467    .1911305
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.00
                                                Prob > F          =     0.9799
                                                R-squared         =     0.0000
                                                Root MSE          =      1.001

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0033606   .1333941     0.03   0.980    -.2595137     .266235
       _cons |  -.0029284   .0940103    -0.03   0.975    -.1881906    .1823338
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.66
                                                Prob > F          =     0.4162
                                                R-squared         =     0.0030
                                                Root MSE          =     1.0481

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.114723    .140841    -0.81   0.416    -.3922726    .1628267
       _cons |   .0350559   .0882604     0.40   0.692    -.1388753    .2089871
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.00
                                                Prob > F          =     0.9520
                                                R-squared         =     0.0000
                                                Root MSE          =     .99122

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0079811   .1323346     0.06   0.952    -.2528052    .2687673
       _cons |   .0032566   .0910844     0.04   0.972    -.1762397    .1827528
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.75
                                                Prob > F          =     0.3875
                                                R-squared         =     0.0033
                                                Root MSE          =     1.0002

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1150524    .132864     0.87   0.387    -.1467773     .376882
       _cons |  -.0627498    .097331    -0.64   0.520    -.2545561    .1290564
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.07
                                                Prob > F          =     0.7944
                                                R-squared         =     0.0003
                                                Root MSE          =     .93268

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0324645   .1244374    -0.26   0.794    -.2776882    .2127592
       _cons |   .0359203   .0863851     0.42   0.678    -.1343153    .2061559
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       1.46
                                                Prob > F          =     0.2285
                                                R-squared         =     0.0064
                                                Root MSE          =     1.0027

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1609444    .133296     1.21   0.229    -.1017366    .4236254
       _cons |  -.0046263   .0967378    -0.05   0.962    -.1952635    .1860109
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.03
                                                Prob > F          =     0.8698
                                                R-squared         =     0.0001
                                                Root MSE          =     1.0141

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .022211   .1353954     0.16   0.870    -.2446073    .2890292
       _cons |  -.0217779   .0931701    -0.23   0.815    -.2053844    .1618287
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

. 
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment if hlpolint == 0, r
  3.         regsave treatment using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, C
> ontrols, 0, Facet, 2, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.00
                                                Prob > F          =     0.9845
                                                R-squared         =     0.0000
                                                Root MSE          =     .96695

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0016845   .0867406    -0.02   0.985    -.1721096    .1687405
       _cons |   .0429591   .0614778     0.70   0.485    -.0778305    .1637487
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.23
                                                Prob > F          =     0.6313
                                                R-squared         =     0.0005
                                                Root MSE          =     .97003

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.041768   .0869837    -0.48   0.631    -.2126708    .1291347
       _cons |   .0380369   .0610014     0.62   0.533    -.0818167    .1578906
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.58
                                                Prob > F          =     0.4486
                                                R-squared         =     0.0012
                                                Root MSE          =     1.0065

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0683421   .0901196    -0.76   0.449    -.2454062    .1087219
       _cons |   .0351508   .0604661     0.58   0.561    -.0836511    .1539527
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.66
                                                Prob > F          =     0.4183
                                                R-squared         =     0.0013
                                                Root MSE          =     1.0203

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0740134   .0913688    -0.81   0.418    -.2535319     .105505
       _cons |   .0414013   .0616671     0.67   0.502    -.0797603    .1625628
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       1.74
                                                Prob > F          =     0.1872
                                                R-squared         =     0.0035
                                                Root MSE          =     1.0008

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.118263    .089548    -1.32   0.187    -.2942042    .0576781
       _cons |   .0607978   .0587824     1.03   0.302    -.0546959    .1762915
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.03
                                                Prob > F          =     0.8656
                                                R-squared         =     0.0001
                                                Root MSE          =     .97975

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0148971   .0879619    -0.17   0.866    -.1877219    .1579277
       _cons |   .0166428   .0637558     0.26   0.794    -.1086225    .1419081
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.74
                                                Prob > F          =     0.3902
                                                R-squared         =     0.0015
                                                Root MSE          =     1.0062

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.077662   .0903009    -0.86   0.390    -.2550824    .0997584
       _cons |   .0363256   .0648143     0.56   0.575    -.0910195    .1636707
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.34
                                                Prob > F          =     0.5600
                                                R-squared         =     0.0007
                                                Root MSE          =     1.0018

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0524158   .0898755    -0.58   0.560    -.2290004    .1241687
       _cons |   .0300891   .0638244     0.47   0.638    -.0953111    .1554892
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.02
                                                Prob > F          =     0.8994
                                                R-squared         =     0.0000
                                                Root MSE          =     1.0316

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0117163   .0926189     0.13   0.899    -.1702583     .193691
       _cons |  -.0151713    .067124    -0.23   0.821    -.1470545    .1167119
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       1.93
                                                Prob > F          =     0.1654
                                                R-squared         =     0.0039
                                                Root MSE          =     .99668

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1244017   .0895515     1.39   0.165    -.0515462    .3003496
       _cons |  -.0962066   .0662231    -1.45   0.147    -.2263196    .0339063
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.33
                                                Prob > F          =     0.5678
                                                R-squared         =     0.0007
                                                Root MSE          =     .99622

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0510073   .0892322    -0.57   0.568    -.2263278    .1243131
       _cons |   .0309982   .0605793     0.51   0.609    -.0880261    .1500225
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_hlpolint.dta saved

. 
. 
. 
. * refugees std
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment hlpolint treat_hlpolint, r
  3.         regsave treat_hlpolint  using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model,
>  1, Controls, 0, Facet, 3, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       3.19
                                                Prob > F          =     0.0232
                                                R-squared         =     0.0131
                                                Root MSE          =     .99551

--------------------------------------------------------------------------------
               |               Robust
  stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .1209915   .0914666     1.32   0.186    -.0585824    .3005654
      hlpolint |   .1878508   .1039694     1.81   0.071    -.0162696    .3919712
treat_hlpolint |   .0347497   .1556515     0.22   0.823    -.2708368    .3403363
         _cons |  -.1242345   .0643142    -1.93   0.054    -.2505008    .0020317
--------------------------------------------------------------------------------
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.01
                                                Prob > F          =     0.3897
                                                R-squared         =     0.0038
                                                Root MSE          =     1.0002

--------------------------------------------------------------------------------
               |               Robust
stdrefterror~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .0972138   .0921286     1.06   0.292    -.0836597    .2780874
      hlpolint |   .0842215   .1138444     0.74   0.460    -.1392863    .3077293
treat_hlpolint |  -.2496116   .1552515    -1.61   0.108    -.5544128    .0551896
         _cons |  -.0375152   .0672358    -0.56   0.577    -.1695175     .094487
--------------------------------------------------------------------------------
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.41
                                                Prob > F          =     0.2385
                                                R-squared         =     0.0060
                                                Root MSE          =     .99908

--------------------------------------------------------------------------------
               |               Robust
stdrefcrime_~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .1672211   .0928668     1.80   0.072    -.0151018     .349544
      hlpolint |    .134443   .1108346     1.21   0.226    -.0831556    .3520415
treat_hlpolint |  -.1253569   .1529919    -0.82   0.413    -.4257218    .1750081
         _cons |  -.1067562   .0664011    -1.61   0.108    -.2371198    .0236074
--------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.99
                                                Prob > F          =     0.0302
                                                R-squared         =     0.0121
                                                Root MSE          =     .99598

--------------------------------------------------------------------------------
               |               Robust
stdrefmoney_~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .1409563    .089756     1.57   0.117    -.0352593     .317172
      hlpolint |   .2690065   .1129187     2.38   0.017     .0473162    .4906967
treat_hlpolint |  -.1321624   .1590064    -0.83   0.406    -.4443355    .1800106
         _cons |  -.1345404    .063512    -2.12   0.034    -.2592319   -.0098489
--------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.93
                                                Prob > F          =     0.1230
                                                R-squared         =     0.0081
                                                Root MSE          =     .99803

--------------------------------------------------------------------------------
               |               Robust
         stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .1600549   .0932757     1.72   0.087    -.0230709    .3431807
      hlpolint |    .204535   .1086132     1.88   0.060    -.0087024    .4177725
treat_hlpolint |   -.145212   .1520165    -0.96   0.340     -.443662     .153238
         _cons |  -.1220461   .0675925    -1.81   0.071    -.2547487    .0106565
--------------------------------------------------------------------------------
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if hlpolint == 1, r
  3.         regsave treatment  using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, C
> ontrols, 0, Facet, 3, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       1.52
                                                Prob > F          =     0.2183
                                                R-squared         =     0.0069
                                                Root MSE          =      .9409

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1557412   .1261541     1.23   0.218    -.0928655     .404348
       _cons |   .0636163   .0818283     0.78   0.438    -.0976394     .224872
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       1.48
                                                Prob > F          =     0.2247
                                                R-squared         =     0.0065
                                                Root MSE          =     .94258

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1523978   .1251724    -1.22   0.225    -.3990698    .0942743
       _cons |   .0467063    .092024     0.51   0.612    -.1346417    .2280543
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.12
                                                Prob > F          =     0.7314
                                                R-squared         =     0.0005
                                                Root MSE          =     .91653

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0418643   .1217876     0.34   0.731    -.1981376    .2818661
       _cons |   .0276868    .088892     0.31   0.756    -.1474891    .2028627
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.00
                                                Prob > F          =     0.9467
                                                R-squared         =     0.0000
                                                Root MSE          =     .98731

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0087939   .1314728     0.07   0.947    -.2502941    .2678819
       _cons |   .1344661   .0935217     1.44   0.152    -.0498332    .3187654
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.02
                                                Prob > F          =     0.9019
                                                R-squared         =     0.0001
                                                Root MSE          =     .90263

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0148428   .1202387     0.12   0.902    -.2221066    .2517923
       _cons |   .0824889   .0851616     0.97   0.334    -.0853356    .2503135
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

. 
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if hlpolint == 0, r
  3.         regsave treatment  using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, C
> ontrols, 0, Facet, 3, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       1.75
                                                Prob > F          =     0.1862
                                                R-squared         =     0.0035
                                                Root MSE          =     1.0192

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1209915   .0913969     1.32   0.186    -.0585822    .3005652
       _cons |  -.1242345   .0642652    -1.93   0.054    -.2505008    .0020317
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       1.12
                                                Prob > F          =     0.2915
                                                R-squared         =     0.0023
                                                Root MSE          =     1.0251

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0972138   .0920584     1.06   0.291    -.0836596    .2780873
       _cons |  -.0375152   .0671846    -0.56   0.577    -.1695174    .0944869
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       3.25
                                                Prob > F          =     0.0721
                                                R-squared         =     0.0065
                                                Root MSE          =     1.0341

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1672211   .0927961     1.80   0.072    -.0151016    .3495439
       _cons |  -.1067562   .0663506    -1.61   0.108    -.2371197    .0236073
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       2.47
                                                Prob > F          =     0.1167
                                                R-squared         =     0.0050
                                                Root MSE          =     .99986

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1409563   .0896877     1.57   0.117    -.0352592    .3171719
       _cons |  -.1345404   .0634637    -2.12   0.035    -.2592318    -.009849
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       2.95
                                                Prob > F          =     0.0866
                                                R-squared         =     0.0059
                                                Root MSE          =     1.0382

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1600549   .0932047     1.72   0.087    -.0230708    .3431805
       _cons |  -.1220461   .0675411    -1.81   0.071    -.2547486    .0106564
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

. 
. 
. 
. * demo std
. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment hlpolint treat_hlpolint, r
  3.         regsave treat_hlpolint  using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1,
>  Controls, 0, Facet, 4, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.00
                                                Prob > F          =     0.3940
                                                R-squared         =     0.0044
                                                Root MSE          =     .99988

--------------------------------------------------------------------------------
               |               Robust
    stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .0808639   .0871577     0.93   0.354    -.0902504    .2519782
      hlpolint |  -.0070329   .1141474    -0.06   0.951    -.2311354    .2170696
treat_hlpolint |  -.1944824   .1669259    -1.17   0.244    -.5222037    .1332388
         _cons |  -.0091487   .0647022    -0.14   0.888    -.1361769    .1178795
--------------------------------------------------------------------------------
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.83
                                                Prob > F          =     0.4790
                                                R-squared         =     0.0032
                                                Root MSE          =     1.0005

--------------------------------------------------------------------------------
               |               Robust
   stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |   .0116951   .0910919     0.13   0.898    -.1671432    .1905334
      hlpolint |  -.1379952   .1086994    -1.27   0.205    -.3514019    .0754116
treat_hlpolint |   .1643593   .1578258     1.04   0.298    -.1454958    .4742145
         _cons |   .0125709   .0633898     0.20   0.843    -.1118807    .1370224
--------------------------------------------------------------------------------
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.27
                                                Prob > F          =     0.2835
                                                R-squared         =     0.0053
                                                Root MSE          =     .99941

--------------------------------------------------------------------------------
               |               Robust
 stddonationyn |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     treatment |  -.0033011   .0896197    -0.04   0.971     -.179249    .1726468
      hlpolint |  -.1489832   .1165267    -1.28   0.201     -.377757    .0797905
treat_hlpolint |   .2623779   .1603098     1.64   0.102     -.052354    .5771098
         _cons |   .0088312   .0638942     0.14   0.890    -.1166106     .134273
--------------------------------------------------------------------------------
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if hlpolint == 1, r
  3.         regsave treatment  using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Cont
> rols, 0, Facet, 4, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       0.63
                                                Prob > F          =     0.4265
                                                R-squared         =     0.0029
                                                Root MSE          =     1.0649

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1136186   .1426053    -0.80   0.426     -.394645    .1674079
       _cons |  -.0161816   .0941973    -0.17   0.864    -.2018123    .1694491
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       1.86
                                                Prob > F          =     0.1740
                                                R-squared         =     0.0083
                                                Root MSE          =     .96667

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1760545   .1291022     1.36   0.174    -.0783618    .4304708
       _cons |  -.1254243   .0884514    -1.42   0.158    -.2997318    .0488832
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        225
                                                F(1, 223)         =       3.79
                                                Prob > F          =     0.0529
                                                R-squared         =     0.0165
                                                Root MSE          =     1.0024

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2590768   .1331437     1.95   0.053    -.0033039    .5214575
       _cons |   -.140152   .0976119    -1.44   0.152    -.3325118    .0522078
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if hlpolint == 0, r
  3.         regsave treatment  using "hte_hlpolint.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Cont
> rols, 0, Facet, 4, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.86
                                                Prob > F          =     0.3536
                                                R-squared         =     0.0017
                                                Root MSE          =     .96915

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0808639   .0870913     0.93   0.354    -.0902503    .2519781
       _cons |  -.0091487    .064653    -0.14   0.888    -.1361768    .1178794
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.02
                                                Prob > F          =     0.8978
                                                R-squared         =     0.0000
                                                Root MSE          =     1.0153

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0116951   .0910225     0.13   0.898     -.167143    .1905333
       _cons |   .0125709   .0633415     0.20   0.843    -.1118806    .1370223
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

Linear regression                               Number of obs     =        497
                                                F(1, 495)         =       0.00
                                                Prob > F          =     0.9706
                                                R-squared         =     0.0000
                                                Root MSE          =     .99807

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0033011   .0895514    -0.04   0.971    -.1792489    .1726467
       _cons |   .0088312   .0638455     0.14   0.890    -.1166105    .1342729
------------------------------------------------------------------------------
(note: variable var was str9, now str14 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_hlpolint.dta saved

. 
. 
. use hte_hlpolint.dta, clear

. drop variable

. 
. gen var2 = .
(78 missing values generated)

. replace var2 = 1 if Var== "stdjoy"
(3 real changes made)

. replace var2 = 2 if Var== "stdpride"
(3 real changes made)

. replace var2 = 3 if Var== "stdsadness"
(3 real changes made)

. replace var2 = 4 if Var== "stdhostility"
(3 real changes made)

. replace var2 = 5 if Var== "stdfear"
(3 real changes made)

. replace var2 = 6 if Var== "stddisgust"
(3 real changes made)

. replace var2 = 7 if Var== "stdanger"
(3 real changes made)

. replace var2 = 8 if Var== "stddisabled"
(3 real changes made)

. replace var2 = 9 if Var== "stdjewish"
(3 real changes made)

. replace var2 = 10 if Var== "stdasian"
(3 real changes made)

. replace var2 = 11 if Var== "stdblack"
(3 real changes made)

. replace var2 = 12 if Var== "stdlgb"
(3 real changes made)

. replace var2 = 13 if Var== "stdmuslim"
(3 real changes made)

. replace var2 = 14 if Var== "stdintersex"
(3 real changes made)

. replace var2 = 15 if Var== "stdtrans"
(3 real changes made)

. replace var2 = 16 if Var== "stdroma"
(3 real changes made)

. replace var2 = 17 if Var== "stdwitness"
(3 real changes made)

. replace var2 = 18 if Var== "stdc1"
(3 real changes made)

. replace var2 = 19 if Var== "stdrefrights"
(3 real changes made)

. replace var2 = 20 if Var== "stdrefterror_inv"
(3 real changes made)

. replace var2 = 21 if Var== "stdrefcrime_inv"
(3 real changes made)

. replace var2 = 22 if Var== "stdrefmoney_inv"
(3 real changes made)

. replace var2 = 23 if Var== "stdr1"
(3 real changes made)

. replace var2 = 24 if Var== "stdprodemo"
(3 real changes made)

. replace var2 = 25 if Var== "stddonationyn"
(3 real changes made)

. replace var2 = 26 if Var== "stdquantity"
(3 real changes made)

. tab var2

       var2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          3        3.85        3.85
          2 |          3        3.85        7.69
          3 |          3        3.85       11.54
          4 |          3        3.85       15.38
          5 |          3        3.85       19.23
          6 |          3        3.85       23.08
          7 |          3        3.85       26.92
          8 |          3        3.85       30.77
          9 |          3        3.85       34.62
         10 |          3        3.85       38.46
         11 |          3        3.85       42.31
         12 |          3        3.85       46.15
         13 |          3        3.85       50.00
         14 |          3        3.85       53.85
         15 |          3        3.85       57.69
         16 |          3        3.85       61.54
         17 |          3        3.85       65.38
         18 |          3        3.85       69.23
         19 |          3        3.85       73.08
         20 |          3        3.85       76.92
         21 |          3        3.85       80.77
         22 |          3        3.85       84.62
         23 |          3        3.85       88.46
         24 |          3        3.85       92.31
         25 |          3        3.85       96.15
         26 |          3        3.85      100.00
------------+-----------------------------------
      Total |         78      100.00

. 
. 
. save hte_hlpolint.dta, replace
file hte_hlpolint.dta saved

. 
. 
. use stones.dta, clear

. 
. 
. 
. * ································  Figure 4 ································· *
. * Ideology left-right
. 
. clear

. gen variable = .

. save hte_leftright.dta, replace
(note: dataset contains 0 observations)
(note: file hte_leftright.dta not found)
file hte_leftright.dta saved

. use stones.dta, clear

. 
. gen leftright = .
(722 missing values generated)

. replace leftright = 0 if ideoscale < 5
(518 real changes made)

. replace leftright = 1 if ideoscale > 5
(82 real changes made)

. 
. * Reference category is left.
. 
. 
. *emotions std
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment##leftright , r
  3.         regsave 1.treatment#1.leftright using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 9
> 5, Model, 1, Controls, 0, Facet, 1, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      48.59
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2026
                                                Root MSE          =     .91094

-------------------------------------------------------------------------------------
                    |               Robust
           stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .9700641   .0812758    11.94   0.000     .8104423    1.129686
        1.leftright |   .1313825   .1391997     0.94   0.346    -.1419991    .4047641
                    |
treatment#leftright |
               1 1  |  -.6259129   .2082927    -3.00   0.003     -1.03499    -.216836
                    |
              _cons |  -.4344117   .0422942   -10.27   0.000    -.5174755   -.3513479
-------------------------------------------------------------------------------------
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      52.78
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2076
                                                Root MSE          =     .88662

-------------------------------------------------------------------------------------
                    |               Robust
             stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |     -.9177   .0777595   -11.80   0.000    -1.070416   -.7649841
        1.leftright |  -.0189048    .126578    -0.15   0.881    -.2674981    .2296884
                    |
treatment#leftright |
               1 1  |   .0935689   .2072191     0.45   0.652    -.3133995    .5005374
                    |
              _cons |   .4298145   .0512186     8.39   0.000     .3292236    .5304053
-------------------------------------------------------------------------------------
(note: variable Var was str6, now str8 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =       1.84
                                                Prob > F          =     0.1386
                                                R-squared         =     0.0090
                                                Root MSE          =     1.0074

-------------------------------------------------------------------------------------
                    |               Robust
            stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .1783439   .0887603     2.01   0.045      .004023    .3526649
        1.leftright |  -3.41e-09   .1818356    -0.00   1.000    -.3571164    .3571164
                    |
treatment#leftright |
               1 1  |  -.2594725   .2390776    -1.09   0.278    -.7290096    .2100645
                    |
              _cons |    -.04313   .0626941    -0.69   0.492    -.1662582    .0799982
-------------------------------------------------------------------------------------
(note: variable Var was str7, now str8 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      33.48
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1392
                                                Root MSE          =     .92433

-------------------------------------------------------------------------------------
                    |               Robust
           stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.7476138   .0811702    -9.21   0.000    -.9070283   -.5881994
        1.leftright |   .1577408   .1589607     0.99   0.321    -.1544504     .469932
                    |
treatment#leftright |
               1 1  |   .1033914   .2157391     0.48   0.632      -.32031    .5270927
                    |
              _cons |   .3117546   .0618022     5.04   0.000      .190378    .4331312
-------------------------------------------------------------------------------------
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      52.44
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2112
                                                Root MSE          =     .90833

-------------------------------------------------------------------------------------
                    |               Robust
         stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .9676935    .079764    12.13   0.000     .8110409    1.124346
        1.leftright |  -.0743522   .1510777    -0.49   0.623    -.3710617    .2223572
                    |
treatment#leftright |
               1 1  |  -.5770676   .2187168    -2.64   0.009    -1.006617   -.1475182
                    |
              _cons |  -.4036478   .0508682    -7.94   0.000    -.5035505   -.3037451
-------------------------------------------------------------------------------------
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      46.86
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1893
                                                Root MSE          =     .92945

-------------------------------------------------------------------------------------
                    |               Robust
         stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .9250427   .0848131    10.91   0.000     .7584738    1.091612
        1.leftright |  -.0667185   .0581161    -1.15   0.251    -.1808557    .0474187
                    |
treatment#leftright |
               1 1  |  -.3163171   .1777212    -1.78   0.076     -.665353    .0327189
                    |
              _cons |  -.4009433   .0319261   -12.56   0.000    -.4636446    -.338242
-------------------------------------------------------------------------------------
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      11.01
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0526
                                                Root MSE          =     .99881

-------------------------------------------------------------------------------------
                    |               Robust
       stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .5037466   .0886366     5.68   0.000     .3296687    .6778246
        1.leftright |   .2287004    .147959     1.55   0.123    -.0618841    .5192848
                    |
treatment#leftright |
               1 1  |  -.4326276   .2284792    -1.89   0.059    -.8813499    .0160946
                    |
              _cons |  -.2314595   .0517424    -4.47   0.000    -.3330791   -.1298398
-------------------------------------------------------------------------------------
file hte_leftright.dta saved

. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if leftright==1, r
  3.         regsave treatment using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, C
> ontrols, 0, Facet, 1, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       3.16
                                                Prob > F          =     0.0791
                                                R-squared         =     0.0361
                                                Root MSE          =     .89103

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3441512   .1935155     1.78   0.079     -.040957    .7292593
       _cons |  -.3030291   .1338181    -2.26   0.026    -.5693356   -.0367227
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =      18.08
                                                Prob > F          =     0.0001
                                                R-squared         =     0.1672
                                                Root MSE          =     .92099

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.8241311   .1938129    -4.25   0.000    -1.209831    -.438431
       _cons |   .4109096   .1167993     3.52   0.001     .1784717    .6433476
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.13
                                                Prob > F          =     0.7182
                                                R-squared         =     0.0017
                                                Root MSE          =     .99785

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0811286   .2239977    -0.36   0.718    -.5268982    .3646411
       _cons |    -.04313   .1722292    -0.25   0.803     -.385877     .299617
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =      10.20
                                                Prob > F          =     0.0020
                                                R-squared         =     0.1110
                                                Root MSE          =     .91314

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.6442225   .2016944    -3.19   0.002    -1.045607   -.2428379
       _cons |   .4694954    .147779     3.18   0.002     .1754058    .7635851
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       3.61
                                                Prob > F          =     0.0609
                                                R-squared         =     0.0412
                                                Root MSE          =     .94357

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3906259   .2054951     1.90   0.061    -.0183223    .7995741
       _cons |      -.478   .1435429    -3.33   0.001    -.7636594   -.1923407
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =      14.92
                                                Prob > F          =     0.0002
                                                R-squared         =     0.1267
                                                Root MSE          =     .80013

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .6087256   .1575902     3.86   0.000      .295111    .9223402
       _cons |  -.4676618   .0490005    -9.54   0.000    -.5651758   -.3701477
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.11
                                                Prob > F          =     0.7387
                                                R-squared         =     0.0013
                                                Root MSE          =     .99075

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .071119   .2124898     0.33   0.739    -.3517492    .4939872
       _cons |  -.0027591   .1398701    -0.02   0.984    -.2811095    .2755914
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
file hte_leftright.dta saved

. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if leftright==0 , r
  3.         regsave treatment using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, C
> ontrols, 0, Facet, 1, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =     142.86
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2203
                                                Root MSE          =     .91399

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .9700641   .0811613    11.95   0.000     .8106169    1.129511
       _cons |  -.4344117   .0422346   -10.29   0.000    -.5173846   -.3514388
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =     139.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2139
                                                Root MSE          =     .88117

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |     -.9177   .0776499   -11.82   0.000    -1.070249   -.7651512
       _cons |   .4298145   .0511464     8.40   0.000     .3293337    .5302953
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       4.05
                                                Prob > F          =     0.0447
                                                R-squared         =     0.0078
                                                Root MSE          =     1.0089

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1783439   .0886352     2.01   0.045     .0042137    .3524742
       _cons |    -.04313   .0626057    -0.69   0.491    -.1661235    .0798634
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =      85.07
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1405
                                                Root MSE          =     .92605

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.7476138   .0810558    -9.22   0.000    -.9068538   -.5883738
       _cons |   .3117546   .0617151     5.05   0.000     .1905108    .4329984
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =     147.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2237
                                                Root MSE          =     .90274

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .9676935   .0796516    12.15   0.000     .8112123    1.124175
       _cons |  -.4036478   .0507965    -7.95   0.000    -.5034412   -.3038545
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =     119.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1928
                                                Root MSE          =     .94792

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .9250427   .0846936    10.92   0.000     .7586561    1.091429
       _cons |  -.4009433   .0318811   -12.58   0.000    -.4635759   -.3383106
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =      32.39
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0598
                                                Root MSE          =     1.0001

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .5037466   .0885117     5.69   0.000     .3298591    .6776342
       _cons |  -.2314595   .0516695    -4.48   0.000    -.3329679    -.129951
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
file hte_leftright.dta saved

. 
. 
. 
. 
. * coworkers std
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment##leftright  , r
  3.         regsave 1.treatment#1.leftright using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 
> 95, Model, 1, Controls, 0, Facet, 2, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      10.74
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0934
                                                Root MSE          =     .92256

-------------------------------------------------------------------------------------
                    |               Robust
        stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |    .099925   .0731785     1.37   0.173    -.0437941     .243644
        1.leftright |   -.893163    .246482    -3.62   0.000    -1.377242   -.4090842
                    |
treatment#leftright |
               1 1  |   .0717057   .3149033     0.23   0.820    -.5467493    .6901608
                    |
              _cons |   .0968143   .0532971     1.82   0.070    -.0078587    .2014873
-------------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =       8.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1085
                                                Root MSE          =     .86064

-------------------------------------------------------------------------------------
                    |               Robust
          stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0037558   .0612779    -0.06   0.951    -.1241027     .116591
        1.leftright |  -.9368182   .2964196    -3.16   0.002    -1.518972   -.3546644
                    |
treatment#leftright |
               1 1  |   .1187925   .3607825     0.33   0.742    -.5897672    .8273521
                    |
              _cons |   .1669015   .0395986     4.21   0.000     .0891317    .2446713
-------------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =       6.69
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0587
                                                Root MSE          =     .86647

-------------------------------------------------------------------------------------
                    |               Robust
           stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0469643   .0703055    -0.67   0.504    -.1850409    .0911124
        1.leftright |  -.4874557   .1942347    -2.51   0.012    -.8689234    -.105988
                    |
treatment#leftright |
               1 1  |   -.206261   .2766686    -0.75   0.456     -.749625     .337103
                    |
              _cons |   .1576713   .0425349     3.71   0.000     .0741349    .2412078
-------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      12.95
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1428
                                                Root MSE          =     .89859

-------------------------------------------------------------------------------------
                    |               Robust
           stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0457782   .0660025    -0.69   0.488     -.175404    .0838476
        1.leftright |  -1.120625   .2862291    -3.92   0.000    -1.682765   -.5584844
                    |
treatment#leftright |
               1 1  |   .1090462   .3590145     0.30   0.761    -.5960412    .8141336
                    |
              _cons |   .1929688   .0393504     4.90   0.000     .1156864    .2702511
-------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      14.66
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1719
                                                Root MSE          =     .87722

-------------------------------------------------------------------------------------
                    |               Robust
             stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0434419   .0622118    -0.70   0.485    -.1656229    .0787391
        1.leftright |  -1.143156   .2499425    -4.57   0.000    -1.634031    -.652281
                    |
treatment#leftright |
               1 1  |   -.018841   .3511098    -0.05   0.957    -.7084038    .6707219
                    |
              _cons |    .220428   .0402626     5.47   0.000     .1413543    .2995018
-------------------------------------------------------------------------------------
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      27.17
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2376
                                                Root MSE          =      .8592

-------------------------------------------------------------------------------------
                    |               Robust
          stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0035549   .0659634    -0.05   0.957     -.133104    .1259941
        1.leftright |  -1.549753   .2404502    -6.45   0.000    -2.021986    -1.07752
                    |
treatment#leftright |
               1 1  |   .2910164   .3122786     0.93   0.352    -.3222839    .9043167
                    |
              _cons |   .2182324   .0464015     4.70   0.000     .1271021    .3093627
-------------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      22.86
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2372
                                                Root MSE          =     .82511

-------------------------------------------------------------------------------------
                    |               Robust
        stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0739394   .0596731    -1.24   0.216    -.1911345    .0432557
        1.leftright |  -1.557278   .2529647    -6.16   0.000    -2.054089   -1.060468
                    |
treatment#leftright |
               1 1  |   .4284931   .3299275     1.30   0.195    -.2194688    1.076455
                    |
              _cons |   .2784131   .0389745     7.14   0.000      .201869    .3549572
-------------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      26.17
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2533
                                                Root MSE          =     .83475

-------------------------------------------------------------------------------------
                    |               Robust
           stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   -.037152   .0619157    -0.60   0.549    -.1587514    .0844474
        1.leftright |  -1.735323   .2455575    -7.07   0.000    -2.217586   -1.253059
                    |
treatment#leftright |
               1 1  |   .6371059   .3212489     1.98   0.048     .0061884    1.268023
                    |
              _cons |   .2630089   .0417308     6.30   0.000     .1810515    .3449662
-------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      22.78
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1954
                                                Root MSE          =     .88574

-------------------------------------------------------------------------------------
                    |               Robust
            stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0136118   .0693787    -0.20   0.845    -.1498683    .1226446
        1.leftright |  -1.404086   .2410392    -5.83   0.000    -1.877476   -.9306965
                    |
treatment#leftright |
               1 1  |   .2535474   .3111983     0.81   0.416    -.3576313    .8647261
                    |
              _cons |   .2219917   .0478655     4.64   0.000     .1279863    .3159972
-------------------------------------------------------------------------------------
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =       3.87
                                                Prob > F          =     0.0093
                                                R-squared         =     0.0182
                                                Root MSE          =     .98507

-------------------------------------------------------------------------------------
                    |               Robust
         stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .1571262   .0863627     1.82   0.069    -.0124861    .3267384
        1.leftright |  -.2830569   .1686252    -1.68   0.094    -.6142287    .0481149
                    |
treatment#leftright |
               1 1  |  -.0945265   .2336116    -0.40   0.686    -.5533285    .3642755
                    |
              _cons |  -.0483898   .0631367    -0.77   0.444    -.1723872    .0756076
-------------------------------------------------------------------------------------
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      24.98
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2215
                                                Root MSE          =     .84248

-------------------------------------------------------------------------------------
                    |               Robust
              stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0158264   .0646366    -0.24   0.807    -.1427697    .1111169
        1.leftright |  -1.420663   .2241806    -6.34   0.000    -1.860943   -.9803835
                    |
treatment#leftright |
               1 1  |   .2137558   .3041583     0.70   0.482    -.3835967    .8111082
                    |
              _cons |   .2341639    .042104     5.56   0.000     .1514736    .3168542
-------------------------------------------------------------------------------------
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_leftright.dta saved

. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment if leftright==1, r
  3.         regsave treatment using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, 
> Controls, 0, Facet, 2, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.31
                                                Prob > F          =     0.5802
                                                R-squared         =     0.0039
                                                Root MSE          =     1.3658

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1716307   .3090521     0.56   0.580    -.4434026    .7866639
       _cons |  -.7963486   .2428268    -3.28   0.002    -1.279589   -.3131079
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.10
                                                Prob > F          =     0.7493
                                                R-squared         =     0.0014
                                                Root MSE          =     1.5533

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1150366   .3587554     0.32   0.749    -.5989095    .8289827
       _cons |  -.7699168    .296419    -2.60   0.011    -1.359809   -.1800242
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.88
                                                Prob > F          =     0.3511
                                                R-squared         =     0.0104
                                                Root MSE          =      1.235

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2532252   .2700064    -0.94   0.351    -.7905551    .2841046
       _cons |  -.3297844   .1912339    -1.72   0.088     -.710352    .0507832
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.03
                                                Prob > F          =     0.8594
                                                R-squared         =     0.0004
                                                Root MSE          =       1.56

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .063268   .3560864     0.18   0.859    -.6453665    .7719024
       _cons |  -.9276559   .2860749    -3.24   0.002    -1.496963   -.3583487
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.03
                                                Prob > F          =     0.8587
                                                R-squared         =     0.0004
                                                Root MSE          =     1.5911

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0622829   .3486789    -0.18   0.859    -.7561761    .6316104
       _cons |   -.922728   .2489089    -3.71   0.000    -1.418072   -.4273836
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.87
                                                Prob > F          =     0.3535
                                                R-squared         =     0.0109
                                                Root MSE          =     1.3694

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2874615   .3079924     0.93   0.353    -.3254628    .9003858
       _cons |  -1.331521   .2380639    -5.59   0.000    -1.805283   -.8577585
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       1.17
                                                Prob > F          =     0.2821
                                                R-squared         =     0.0146
                                                Root MSE          =     1.4576

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3545537   .3274203     1.08   0.282    -.2970335    1.006141
       _cons |  -1.278865   .2522043    -5.07   0.000    -1.780768   -.7769625
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       3.56
                                                Prob > F          =     0.0629
                                                R-squared         =     0.0430
                                                Root MSE          =     1.4178

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .5999539   .3180762     1.89   0.063     -.033038    1.232946
       _cons |  -1.472314   .2441737    -6.03   0.000    -1.958235   -.9863926
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.61
                                                Prob > F          =     0.4355
                                                R-squared         =     0.0078
                                                Root MSE          =     1.3573

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2399356   .3061093     0.78   0.435    -.3692414    .8491125
       _cons |  -1.182094   .2383751    -4.96   0.000    -1.656476   -.7077128
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.08
                                                Prob > F          =     0.7758
                                                R-squared         =     0.0010
                                                Root MSE          =      .9968

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0625997   .2190246     0.29   0.776    -.3732733    .4984726
       _cons |  -.3314467   .1577731    -2.10   0.039    -.6454252   -.0174682
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.44
                                                Prob > F          =     0.5112
                                                R-squared         =     0.0053
                                                Root MSE          =      1.353

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1979294   .2998985     0.66   0.511    -.3988877    .7947465
       _cons |    -1.1865   .2221823    -5.34   0.000    -1.628656   -.7443427
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_leftright.dta saved

. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment if leftright==0, r
  3.         regsave treatment using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, 
> Controls, 0, Facet, 2, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       1.87
                                                Prob > F          =     0.1721
                                                R-squared         =     0.0036
                                                Root MSE          =     .83298

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .099925   .0730754     1.37   0.172    -.0436369    .2434868
       _cons |   .0968143    .053222     1.82   0.069    -.0077441    .2013728
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.00
                                                Prob > F          =     0.9511
                                                R-squared         =     0.0000
                                                Root MSE          =     .69387

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0037558   .0611915    -0.06   0.951     -.123971    .1164593
       _cons |   .1669015   .0395428     4.22   0.000     .0892168    .2445862
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.45
                                                Prob > F          =     0.5038
                                                R-squared         =     0.0009
                                                Root MSE          =     .79418

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0469643   .0702064    -0.67   0.504    -.1848899    .0909613
       _cons |   .1576713   .0424749     3.71   0.000     .0742263    .2411164
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.48
                                                Prob > F          =     0.4876
                                                R-squared         =     0.0009
                                                Root MSE          =      .7452

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0457782   .0659095    -0.69   0.488    -.1752622    .0837057
       _cons |   .1929688    .039295     4.91   0.000      .115771    .2701666
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.49
                                                Prob > F          =     0.4847
                                                R-squared         =     0.0010
                                                Root MSE          =     .70449

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0434419   .0621241    -0.70   0.485    -.1654892    .0786054
       _cons |    .220428   .0402058     5.48   0.000     .1414408    .2994153
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.00
                                                Prob > F          =     0.9570
                                                R-squared         =     0.0000
                                                Root MSE          =     .74961

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0035549   .0658705    -0.05   0.957    -.1329622    .1258523
       _cons |   .2182324   .0463361     4.71   0.000     .1272018     .309263
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       1.54
                                                Prob > F          =     0.2152
                                                R-squared         =     0.0030
                                                Root MSE          =     .67598

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0739394    .059589    -1.24   0.215    -.1910063    .0431275
       _cons |   .2784131   .0389196     7.15   0.000     .2019527    .3548734
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.36
                                                Prob > F          =     0.5482
                                                R-squared         =     0.0007
                                                Root MSE          =     .70229

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.037152   .0618284    -0.60   0.548    -.1586184    .0843144
       _cons |   .2630089    .041672     6.31   0.000     .1811412    .3448765
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.04
                                                Prob > F          =     0.8443
                                                R-squared         =     0.0001
                                                Root MSE          =     .78774

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0136118   .0692809    -0.20   0.844    -.1497192    .1224956
       _cons |   .2219917    .047798     4.64   0.000     .1280891    .3158944
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       3.32
                                                Prob > F          =     0.0690
                                                R-squared         =     0.0064
                                                Root MSE          =     .98323

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1571262    .086241     1.82   0.069    -.0123005    .3265528
       _cons |  -.0483898   .0630477    -0.77   0.443    -.1722515     .075472
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.06
                                                Prob > F          =     0.8064
                                                R-squared         =     0.0001
                                                Root MSE          =     .73213

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0158264   .0645455    -0.25   0.806    -.1426308     .110978
       _cons |   .2341639   .0420447     5.57   0.000     .1515641    .3167638
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_leftright.dta saved

. 
. 
. 
. * refugees std
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment##leftright  , r
  3.         regsave 1.treatment#1.leftright using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 9
> 5, Model, 1, Controls, 0, Facet, 3, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      42.67
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2394
                                                Root MSE          =     .85557

-------------------------------------------------------------------------------------
                    |               Robust
       stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0710187   .0717993     0.99   0.323    -.0699916     .212029
        1.leftright |   1.477665   .1816744     8.13   0.000     1.120865    1.834464
                    |
treatment#leftright |
               1 1  |  -.1659647   .2484711    -0.67   0.504    -.6539501    .3220207
                    |
              _cons |  -.3079678   .0481775    -6.39   0.000    -.4025861   -.2133495
-------------------------------------------------------------------------------------
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      45.95
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2577
                                                Root MSE          =      .8436

-------------------------------------------------------------------------------------
                    |               Robust
   stdrefterror_inv |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0061627   .0708723     0.09   0.931    -.1330271    .1453525
        1.leftright |   1.732176   .1926358     8.99   0.000     1.353848    2.110503
                    |
treatment#leftright |
               1 1  |  -.5600848   .2474461    -2.26   0.024    -1.046057   -.0741124
                    |
              _cons |  -.2490266   .0497749    -5.00   0.000    -.3467821   -.1512712
-------------------------------------------------------------------------------------
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      66.22
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2722
                                                Root MSE          =     .84866

-------------------------------------------------------------------------------------
                    |               Robust
    stdrefcrime_inv |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0871845   .0735074     1.19   0.236    -.0571806    .2315496
        1.leftright |   1.689759   .1558512    10.84   0.000     1.383675    1.995844
                    |
treatment#leftright |
               1 1  |  -.3533001   .2157603    -1.64   0.102    -.7770431    .0704429
                    |
              _cons |  -.3179887   .0517414    -6.15   0.000    -.4196064    -.216371
-------------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      50.81
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2757
                                                Root MSE          =     .82429

-------------------------------------------------------------------------------------
                    |               Robust
    stdrefmoney_inv |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0515915   .0690967     0.75   0.456    -.0841112    .1872942
        1.leftright |   1.612254   .1824317     8.84   0.000     1.253967    1.970541
                    |
treatment#leftright |
               1 1  |  -.2559732   .2419263    -1.06   0.290    -.7311049    .2191584
                    |
              _cons |  -.3079494   .0472501    -6.52   0.000    -.4007464   -.2151525
-------------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      83.08
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3835
                                                Root MSE          =     .76928

-------------------------------------------------------------------------------------
                    |               Robust
              stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0655445   .0644871     1.02   0.310    -.0611051    .1921941
        1.leftright |   1.976657   .1718674    11.50   0.000     1.639118    2.314197
                    |
treatment#leftright |
               1 1  |  -.4068979   .2257696    -1.80   0.072    -.8502986    .0365028
                    |
              _cons |  -.3587206   .0449381    -7.98   0.000    -.4469769   -.2704643
-------------------------------------------------------------------------------------
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_leftright.dta saved

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if leftright==1 , r
  3.         regsave treatment using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, C
> ontrols, 0, Facet, 3, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.16
                                                Prob > F          =     0.6935
                                                R-squared         =     0.0019
                                                Root MSE          =     1.0849

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.094946   .2400223    -0.40   0.693    -.5726056    .3827135
       _cons |   1.169697   .1767539     6.62   0.000     .8179452    1.521448
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       5.36
                                                Prob > F          =     0.0231
                                                R-squared         =     0.0644
                                                Root MSE          =     1.0576

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.5539222   .2392233    -2.32   0.023    -1.029992   -.0778526
       _cons |   1.483149   .1877769     7.90   0.000     1.109461    1.856837
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       1.69
                                                Prob > F          =     0.1973
                                                R-squared         =     0.0201
                                                Root MSE          =     .92984

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2661156   .2046869    -1.30   0.197    -.6734555    .1412243
       _cons |   1.371771    .148341     9.25   0.000     1.076563    1.666979
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.76
                                                Prob > F          =     0.3849
                                                R-squared         =     0.0095
                                                Root MSE          =     1.0464

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2043817   .2339455    -0.87   0.385    -.6699481    .2611846
       _cons |   1.304304   .1777999     7.34   0.000     .9504713    1.658138
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       2.44
                                                Prob > F          =     0.1219
                                                R-squared         =     0.0299
                                                Root MSE          =     .97354

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.3413534   .2183203    -1.56   0.122    -.7758247    .0931179
       _cons |   1.617937   .1673885     9.67   0.000     1.284823    1.951051
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_leftright.dta saved

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if leftright==0, r
  3.         regsave treatment using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, C
> ontrols, 0, Facet, 3, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.98
                                                Prob > F          =     0.3224
                                                R-squared         =     0.0019
                                                Root MSE          =     .81425

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0710187   .0716981     0.99   0.322    -.0698374    .2118747
       _cons |  -.3079678   .0481096    -6.40   0.000    -.4024826    -.213453
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.01
                                                Prob > F          =     0.9306
                                                R-squared         =     0.0000
                                                Root MSE          =     .80534

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0061627   .0707724     0.09   0.931    -.1328748    .1452002
       _cons |  -.2490266   .0497047    -5.01   0.000    -.3466751   -.1513782
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       1.41
                                                Prob > F          =     0.2355
                                                R-squared         =     0.0027
                                                Root MSE          =     .83537

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0871845   .0734038     1.19   0.235    -.0570227    .2313916
       _cons |  -.3179887   .0516685    -6.15   0.000    -.4194952   -.2164822
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.56
                                                Prob > F          =     0.4550
                                                R-squared         =     0.0011
                                                Root MSE          =     .78423

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0515915   .0689993     0.75   0.455    -.0839627    .1871457
       _cons |  -.3079494   .0471835    -6.53   0.000    -.4006449    -.215254
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       1.04
                                                Prob > F          =     0.3092
                                                R-squared         =     0.0020
                                                Root MSE          =     .73252

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0655445   .0643962     1.02   0.309    -.0609665    .1920555
       _cons |  -.3587206   .0448748    -7.99   0.000    -.4468803   -.2705608
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_leftright.dta saved

. 
. 
. 
. * demo std
. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment##leftright  , r
  3.         regsave 1.treatment#1.leftright using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, 
> Model, 1, Controls, 0, Facet, 4, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =       7.01
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0597
                                                Root MSE          =      .9377

-------------------------------------------------------------------------------------
                    |               Robust
         stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0603441   .0757062     0.80   0.426    -.0883393    .2090274
        1.leftright |   -.768023   .2350949    -3.27   0.001    -1.229738   -.3063078
                    |
treatment#leftright |
               1 1  |   .1620249   .3052164     0.53   0.596    -.4374055    .7614552
                    |
              _cons |   .0983388   .0552364     1.78   0.076    -.0101428    .2068204
-------------------------------------------------------------------------------------
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =      19.43
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0539
                                                Root MSE          =      .9685

-------------------------------------------------------------------------------------
                    |               Robust
        stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .1838939    .087925     2.09   0.037     .0112134    .3565745
        1.leftright |  -.6401434   .1178625    -5.43   0.000    -.8716198    -.408667
                    |
treatment#leftright |
               1 1  |   .0186443   .1807615     0.10   0.918    -.3363626    .3736512
                    |
              _cons |   .0121921   .0606985     0.20   0.841    -.1070169    .1314011
-------------------------------------------------------------------------------------
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        600
                                                F(3, 596)         =       8.53
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0459
                                                Root MSE          =     .96596

-------------------------------------------------------------------------------------
                    |               Robust
      stddonationyn |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .2032552   .0828466     2.45   0.014     .0405484     .365962
        1.leftright |   -.607165   .1939341    -3.13   0.002    -.9880423   -.2262877
                    |
treatment#leftright |
               1 1  |   .1164376   .2565663     0.45   0.650    -.3874464    .6203216
                    |
              _cons |   .0014774   .0615516     0.02   0.981     -.119407    .1223618
-------------------------------------------------------------------------------------
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_leftright.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if leftright==1 , r
  3.         regsave treatment using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Cont
> rols, 0, Facet, 4, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       0.56
                                                Prob > F          =     0.4583
                                                R-squared         =     0.0070
                                                Root MSE          =     1.3266

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2223689   .2983519     0.75   0.458    -.3713702     .816108
       _cons |  -.6696842   .2305801    -2.90   0.005    -1.128553   -.2108151
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       1.62
                                                Prob > F          =     0.2074
                                                R-squared         =     0.0181
                                                Root MSE          =     .74797

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2025382   .1593645     1.27   0.207    -.1146072    .5196837
       _cons |  -.6279513   .1019446    -6.16   0.000    -.8308275    -.425075
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =         82
                                                F(1, 80)          =       1.70
                                                Prob > F          =     0.1957
                                                R-squared         =     0.0208
                                                Root MSE          =     1.0973

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3196928   .2450181     1.30   0.196    -.1679087    .8072943
       _cons |  -.6056876   .1855701    -3.26   0.002    -.9749839   -.2363913
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_leftright.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if leftright==0 , r
  3.         regsave treatment using "hte_leftright.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Cont
> rols, 0, Facet, 4, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       0.64
                                                Prob > F          =     0.4251
                                                R-squared         =     0.0012
                                                Root MSE          =     .86183

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0603441   .0755995     0.80   0.425    -.0881766    .2088647
       _cons |   .0983388   .0551585     1.78   0.075    -.0100241    .2067017
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       4.39
                                                Prob > F          =     0.0367
                                                R-squared         =     0.0084
                                                Root MSE          =     .99834

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1838939   .0878011     2.09   0.037     .0114023    .3563856
       _cons |   .0121921    .060613     0.20   0.841    -.1068864    .1312707
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_leftright.dta saved

Linear regression                               Number of obs     =        518
                                                F(1, 516)         =       6.04
                                                Prob > F          =     0.0143
                                                R-squared         =     0.0115
                                                Root MSE          =     .94397

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2032552   .0827299     2.46   0.014     .0407264     .365784
       _cons |   .0014774   .0614649     0.02   0.981    -.1192747    .1222295
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_leftright.dta saved

. 
. 
. 
. 
. use hte_leftright.dta, clear

. drop variable

. 
. gen var2 = .
(78 missing values generated)

. replace var2 = 1 if Var== "stdjoy"
(3 real changes made)

. replace var2 = 2 if Var== "stdpride"
(3 real changes made)

. replace var2 = 3 if Var== "stdsadness"
(3 real changes made)

. replace var2 = 4 if Var== "stdhostility"
(3 real changes made)

. replace var2 = 5 if Var== "stdfear"
(3 real changes made)

. replace var2 = 6 if Var== "stddisgust"
(3 real changes made)

. replace var2 = 7 if Var== "stdanger"
(3 real changes made)

. replace var2 = 8 if Var== "stddisabled"
(3 real changes made)

. replace var2 = 9 if Var== "stdjewish"
(3 real changes made)

. replace var2 = 10 if Var== "stdasian"
(3 real changes made)

. replace var2 = 11 if Var== "stdblack"
(3 real changes made)

. replace var2 = 12 if Var== "stdlgb"
(3 real changes made)

. replace var2 = 13 if Var== "stdmuslim"
(3 real changes made)

. replace var2 = 14 if Var== "stdintersex"
(3 real changes made)

. replace var2 = 15 if Var== "stdtrans"
(3 real changes made)

. replace var2 = 16 if Var== "stdroma"
(3 real changes made)

. replace var2 = 17 if Var== "stdwitness"
(3 real changes made)

. replace var2 = 18 if Var== "stdc1"
(3 real changes made)

. replace var2 = 19 if Var== "stdrefrights"
(3 real changes made)

. replace var2 = 20 if Var== "stdrefterror_inv"
(3 real changes made)

. replace var2 = 21 if Var== "stdrefcrime_inv"
(3 real changes made)

. replace var2 = 22 if Var== "stdrefmoney_inv"
(3 real changes made)

. replace var2 = 23 if Var== "stdr1"
(3 real changes made)

. replace var2 = 24 if Var== "stdprodemo"
(3 real changes made)

. replace var2 = 25 if Var== "stddonationyn"
(3 real changes made)

. replace var2 = 26 if Var== "stdquantity"
(3 real changes made)

. tab var2

       var2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          3        3.85        3.85
          2 |          3        3.85        7.69
          3 |          3        3.85       11.54
          4 |          3        3.85       15.38
          5 |          3        3.85       19.23
          6 |          3        3.85       23.08
          7 |          3        3.85       26.92
          8 |          3        3.85       30.77
          9 |          3        3.85       34.62
         10 |          3        3.85       38.46
         11 |          3        3.85       42.31
         12 |          3        3.85       46.15
         13 |          3        3.85       50.00
         14 |          3        3.85       53.85
         15 |          3        3.85       57.69
         16 |          3        3.85       61.54
         17 |          3        3.85       65.38
         18 |          3        3.85       69.23
         19 |          3        3.85       73.08
         20 |          3        3.85       76.92
         21 |          3        3.85       80.77
         22 |          3        3.85       84.62
         23 |          3        3.85       88.46
         24 |          3        3.85       92.31
         25 |          3        3.85       96.15
         26 |          3        3.85      100.00
------------+-----------------------------------
      Total |         78      100.00

. 
. 
. save hte_leftright.dta, replace
file hte_leftright.dta saved

. 
. 
. 
. 
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. * ········  Figures E3 to E9 in Appendix  ················· *
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. 
. 
. * ················  Figure E.3 to E.6  Age ····································· *
. 
. 
. use stones.dta, clear

. recode age (1 = 1) (2 = 2) (3 = 3) (4 = 4) (5 = 5) (6 = 5), gen (age_recoded)
(6 differences between age and age_recoded)

. tab age age_recoded

           |                  RECODE of age (age)
       age |         1          2          3          4          5 |     Total
-----------+-------------------------------------------------------+----------
         1 |       203          0          0          0          0 |       203 
         2 |         0        319          0          0          0 |       319 
         3 |         0          0        129          0          0 |       129 
         4 |         0          0          0         39          0 |        39 
         5 |         0          0          0          0         26 |        26 
         6 |         0          0          0          0          6 |         6 
-----------+-------------------------------------------------------+----------
     Total |       203        319        129         39         32 |       722 

. 
. tab age_recoded, gen(recode_age_)

  RECODE of |
  age (age) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        203       28.12       28.12
          2 |        319       44.18       72.30
          3 |        129       17.87       90.17
          4 |         39        5.40       95.57
          5 |         32        4.43      100.00
------------+-----------------------------------
      Total |        722      100.00

. 
. forvalues x = 1/5{
  2. gen treat_age_`x'  = treatment * recode_age_`x'
  3. }

. 
. save stones.dta, replace
file stones.dta saved

. 
. clear

. gen variable = .

. save hte_age.dta, replace
(note: dataset contains 0 observations)
(note: file hte_age.dta not found)
file hte_age.dta saved

. use stones.dta, clear

. 
. 
. *emotions std
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment recode_age_2 recode_age_3 recode_age_4 recode_age_5 treat_age_2 treat_age_3 treat_age_4 treat_age_5
> , r
  3.         regsave treat_age_2 treat_age_3 treat_age_4 treat_age_5 using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `
> emotion', Level, 95, Model, 1, Controls, 0, Facet, 1, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =      16.46
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1734
                                                Root MSE          =     .91488

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .9460016   .1393791     6.79   0.000     .6723584    1.219645
recode_age_2 |  -.0734144    .086399    -0.85   0.396    -.2430417    .0962128
recode_age_3 |  -.1598005   .1103885    -1.45   0.148    -.3765264    .0569253
recode_age_4 |  -.0422684   .2031231    -0.21   0.835    -.4410602    .3565234
recode_age_5 |   .1524991   .2549605     0.60   0.550    -.3480651    .6530633
 treat_age_2 |  -.1502316   .1710335    -0.88   0.380    -.4860218    .1855587
 treat_age_3 |   -.243875   .2071002    -1.18   0.239     -.650475    .1627251
 treat_age_4 |  -.1669316   .3020828    -0.55   0.581    -.7600111    .4261479
 treat_age_5 |  -.3415507   .4078193    -0.84   0.403    -1.142223    .4591216
       _cons |  -.3467271   .0663541    -5.23   0.000    -.4770002   -.2164539
------------------------------------------------------------------------------
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =      23.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2251
                                                Root MSE          =     .88581

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -1.030134   .1299974    -7.92   0.000    -1.285358   -.7749099
recode_age_2 |  -.1875445   .1022363    -1.83   0.067    -.3882651    .0131761
recode_age_3 |  -.2445664   .1238774    -1.97   0.049    -.4877752   -.0013576
recode_age_4 |  -.8147853   .2097373    -3.88   0.000    -1.226563   -.4030078
recode_age_5 |  -.4074861   .2205808    -1.85   0.065    -.8405528    .0255806
 treat_age_2 |   .1312322   .1642046     0.80   0.424    -.1911509    .4536154
 treat_age_3 |   .0942311   .1959399     0.48   0.631     -.290458    .4789203
 treat_age_4 |   .6839296   .2966537     2.31   0.021      .101509     1.26635
 treat_age_5 |   .4327618   .3275697     1.32   0.187    -.2103564     1.07588
       _cons |   .6351111   .0788018     8.06   0.000     .4803993    .7898228
------------------------------------------------------------------------------
(note: variable Var was str6, now str8 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       1.67
                                                Prob > F          =     0.0934
                                                R-squared         =     0.0199
                                                Root MSE          =     .99623

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0750501    .138015     0.54   0.587     -.195915    .3460153
recode_age_2 |  -.1525606   .1221608    -1.25   0.212    -.3923992    .0872779
recode_age_3 |  -.0996017   .1701874    -0.59   0.559    -.4337308    .2345274
recode_age_4 |  -.1290233     .26729    -0.48   0.629     -.653794    .3957474
recode_age_5 |   .0895374   .3456487     0.26   0.796    -.5890751    .7681499
 treat_age_2 |    .236042   .1780379     1.33   0.185       -.1135     .585584
 treat_age_3 |   -.163315   .2218909    -0.74   0.462    -.5989539    .2723238
 treat_age_4 |   .2191662   .3344236     0.66   0.512    -.4374081    .8757405
 treat_age_5 |   .1771353   .4403058     0.40   0.688    -.6873177    1.041588
       _cons |   .0035127   .0980228     0.04   0.971    -.1889356     .195961
------------------------------------------------------------------------------
(note: variable Var was str7, now str8 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =      14.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1428
                                                Root MSE          =     .93166

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.7130203   .1324313    -5.38   0.000    -.9730229   -.4530177
recode_age_2 |  -.0857116   .1188651    -0.72   0.471    -.3190796    .1476564
recode_age_3 |  -.2160542   .1401891    -1.54   0.124    -.4912877    .0591792
recode_age_4 |  -.8791307   .2208313    -3.98   0.000    -1.312689   -.4455723
recode_age_5 |   .2056258   .3007034     0.68   0.494    -.3847457    .7959972
 treat_age_2 |   .0124237   .1735396     0.07   0.943    -.3282867    .3531342
 treat_age_3 |    .040644   .1939085     0.21   0.834     -.340057    .4213449
 treat_age_4 |   .6060724   .2866095     2.11   0.035     .0433716    1.168773
 treat_age_5 |  -.3717362   .3624396    -1.03   0.305    -1.083314     .339842
       _cons |   .4563757   .0829642     5.50   0.000     .2934921    .6192594
------------------------------------------------------------------------------
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =      15.07
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1585
                                                Root MSE          =      .9231

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7056623   .1350239     5.23   0.000     .4405696     .970755
recode_age_2 |  -.1519063   .1007623    -1.51   0.132     -.349733    .0459204
recode_age_3 |  -.2100387   .1351449    -1.55   0.121    -.4753689    .0552914
recode_age_4 |   -.028444   .2035237    -0.14   0.889    -.4280224    .3711344
recode_age_5 |   .1677036   .2368282     0.71   0.479    -.2972616    .6326688
 treat_age_2 |   .1615611     .16841     0.96   0.338    -.1690784    .4922007
 treat_age_3 |   .0921605   .2145152     0.43   0.668    -.3289975    .5133185
 treat_age_4 |  -.1108921    .322681    -0.34   0.731    -.7444121    .5226278
 treat_age_5 |  -.1045648   .3457476    -0.30   0.762    -.7833715    .5742419
       _cons |  -.2926379   .0778262    -3.76   0.000    -.4454343   -.1398416
------------------------------------------------------------------------------
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =      16.38
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1916
                                                Root MSE          =     .90475

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   1.150712   .1616292     7.12   0.000     .8333853    1.468039
recode_age_2 |  -.0278581   .0690535    -0.40   0.687    -.1634309    .1077146
recode_age_3 |  -.0853925   .0763905    -1.12   0.264      -.23537    .0645851
recode_age_4 |  -.0740277    .094268    -0.79   0.433    -.2591041    .1110487
recode_age_5 |   .0315027   .1257928     0.25   0.802    -.2154665     .278472
 treat_age_2 |  -.3841905   .1880505    -2.04   0.041    -.7533903   -.0149907
 treat_age_3 |  -.5711068   .2073801    -2.75   0.006    -.9782564   -.1639572
 treat_age_4 |  -.5824716   .2857644    -2.04   0.042    -1.143513   -.0214299
 treat_age_5 |  -.8584742   .2825093    -3.04   0.002    -1.413125   -.3038234
       _cons |  -.3676574   .0553663    -6.64   0.000    -.4763581   -.2589567
------------------------------------------------------------------------------
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       5.49
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0610
                                                Root MSE          =     .97515

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .5634126   .1463282     3.85   0.000     .2761263    .8506989
recode_age_2 |   .0784654   .1084808     0.72   0.470     -.134515    .2914459
recode_age_3 |  -.0643263   .1251874    -0.51   0.608    -.3101069    .1814543
recode_age_4 |   .1457581   .1629355     0.89   0.371    -.1741334    .4656496
recode_age_5 |  -.2106351   .1396729    -1.51   0.132    -.4848551    .0635849
 treat_age_2 |  -.1071665   .1868123    -0.57   0.566    -.4739353    .2596023
 treat_age_3 |  -.3647458   .1994074    -1.83   0.068    -.7562427     .026751
 treat_age_4 |  -.5258975   .2996127    -1.76   0.080    -1.114128    .0623325
 treat_age_5 |   .0555861    .335364     0.17   0.868    -.6028346    .7140067
       _cons |  -.2310503   .0843974    -2.74   0.006    -.3967479   -.0653528
------------------------------------------------------------------------------
file hte_age.dta saved

. 
. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if recode_age_1 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Control
> s, 0, Facet, 1, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =      46.25
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1984
                                                Root MSE          =     .95286

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .9460016   .1390974     6.80   0.000     .6717242    1.220279
       _cons |  -.3467271     .06622    -5.24   0.000    -.4773021    -.216152
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =      63.05
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2441
                                                Root MSE          =      .9085

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -1.030134   .1297347    -7.94   0.000     -1.28595   -.7743185
       _cons |   .6351111   .0786426     8.08   0.000     .4800407    .7901814
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.30
                                                Prob > F          =     0.5864
                                                R-squared         =     0.0015
                                                Root MSE          =     .98453

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0750501   .1377361     0.54   0.586     -.196543    .3466432
       _cons |   .0035127   .0978247     0.04   0.971    -.1893816     .196407
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =      29.11
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1288
                                                Root MSE          =     .92905

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.7130203   .1321637    -5.39   0.000    -.9736254   -.4524151
       _cons |   .4563757   .0827965     5.51   0.000     .2931146    .6196369
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =      27.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1243
                                                Root MSE          =     .93853

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7056623   .1347511     5.24   0.000     .4399553    .9713694
       _cons |  -.2926379   .0776689    -3.77   0.000    -.4457884   -.1394875
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =      50.89
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2201
                                                Root MSE          =     1.0855

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   1.150712   .1613026     7.13   0.000     .8326499    1.468775
       _cons |  -.3676574   .0552544    -6.65   0.000    -.4766101   -.2587047
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =      14.89
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0715
                                                Root MSE          =     1.0172

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .5634126   .1460324     3.86   0.000     .2754605    .8513647
       _cons |  -.2310503   .0842268    -2.74   0.007    -.3971319   -.0649688
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
file hte_age.dta saved

. 
. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if recode_age_2 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Control
> s, 0, Facet, 1, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =      64.94
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1704
                                                Root MSE          =      .8808

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |     .79577   .0987469     8.06   0.000      .601488    .9900521
       _cons |  -.4201415   .0551231    -7.62   0.000    -.5285948   -.3116882
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =      80.91
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2035
                                                Root MSE          =     .89202

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.8989018   .0999353    -8.99   0.000    -1.095522   -.7022815
       _cons |   .4475666   .0648857     6.90   0.000     .3199055    .5752277
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       7.71
                                                Prob > F          =     0.0058
                                                R-squared         =     0.0238
                                                Root MSE          =          1

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3110921   .1120394     2.78   0.006     .0906573     .531527
       _cons |  -.1490479   .0726241    -2.05   0.041     -.291934   -.0061618
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =      39.32
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1103
                                                Root MSE          =      .9982

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.7005965   .1117228    -6.27   0.000    -.9204083   -.4807847
       _cons |   .3706642   .0847973     4.37   0.000     .2038276    .5375008
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =      74.81
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1911
                                                Root MSE          =     .89487

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8672235   .1002655     8.65   0.000     .6699535    1.064493
       _cons |  -.4445442   .0637563    -6.97   0.000    -.5699832   -.3191053
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =      64.08
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1687
                                                Root MSE          =     .85341

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7665217   .0957523     8.01   0.000     .5781315     .954912
       _cons |  -.3955155   .0411091    -9.62   0.000    -.4763968   -.3146343
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =      15.55
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0469
                                                Root MSE          =     1.0321

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4562461   .1156893     3.94   0.000     .2286303    .6838619
       _cons |  -.1525849   .0678949    -2.25   0.025    -.2861664   -.0190034
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
file hte_age.dta saved

. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if recode_age_3 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Control
> s, 0, Facet, 1, Group, 3, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =      20.97
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1351
                                                Root MSE          =      .8929

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7021266    .153308     4.58   0.000     .3987578    1.005496
       _cons |  -.5065276   .0882939    -5.74   0.000    -.6812453   -.3318099
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =      40.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2371
                                                Root MSE          =     .84393

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.9359029   .1467285    -6.38   0.000    -1.226252   -.6455537
       _cons |   .3905447   .0956621     4.08   0.000     .2012467    .5798427
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       0.26
                                                Prob > F          =     0.6126
                                                R-squared         =     0.0021
                                                Root MSE          =     .97031

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0882649   .1738912    -0.51   0.613    -.4323641    .2558344
       _cons |   -.096089     .13924    -0.69   0.491    -.3716198    .1794419
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =      22.50
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1542
                                                Root MSE          =     .79156

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.6723763   .1417609    -4.74   0.000    -.9528956    -.391857
       _cons |   .2403215    .113099     2.12   0.036     .0165191     .464124
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =      22.87
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1492
                                                Root MSE          =     .95768

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7978229   .1668292     4.78   0.000      .467698    1.127948
       _cons |  -.5026767    .110579    -4.55   0.000    -.7214926   -.2838608
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =      19.87
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1241
                                                Root MSE          =     .77405

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .5796054   .1300417     4.46   0.000     .3222764    .8369344
       _cons |  -.4530499   .0526757    -8.60   0.000    -.5572856   -.3488142
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       2.15
                                                Prob > F          =     0.1453
                                                R-squared         =     0.0163
                                                Root MSE          =     .77548

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1986668    .135581     1.47   0.145    -.0696235    .4669571
       _cons |  -.2953766   .0925382    -3.19   0.002    -.4784931   -.1122602
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
file hte_age.dta saved

. 
. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if recode_age_4 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Control
> s, 0, Facet, 1, Group, 4, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       8.13
                                                Prob > F          =     0.0071
                                                R-squared         =     0.1790
                                                Root MSE          =       .854

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |     .77907   .2732424     2.85   0.007     .2254284    1.332712
       _cons |  -.3889955   .1957301    -1.99   0.054    -.7855823    .0075913
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       1.62
                                                Prob > F          =     0.2108
                                                R-squared         =     0.0419
                                                Root MSE          =     .84731

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.3462044    .271863    -1.27   0.211    -.8970512    .2046425
       _cons |  -.1796743   .1981681    -0.91   0.370    -.5812011    .2218525
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.90
                                                Prob > F          =     0.3496
                                                R-squared         =     0.0246
                                                Root MSE          =     .94754

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2942163   .3105673     0.95   0.350    -.3350528    .9234855
       _cons |  -.1255106   .2535255    -0.50   0.623     -.639202    .3881808
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.17
                                                Prob > F          =     0.6822
                                                R-squared         =     0.0047
                                                Root MSE          =     .79295

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1069478   .2591448    -0.41   0.682     -.632025    .4181294
       _cons |   -.422755   .2086526    -2.03   0.050    -.8455253    .0000154
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       3.96
                                                Prob > F          =     0.0540
                                                R-squared         =     0.0934
                                                Root MSE          =      .9483

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .5947702   .2987982     1.99   0.054    -.0106525    1.200193
       _cons |   -.321082   .1917298    -1.67   0.102    -.7095634    .0673995
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       5.59
                                                Prob > F          =     0.0234
                                                R-squared         =     0.1176
                                                Root MSE          =     .79663

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .5682406   .2402676     2.37   0.023     .0814122    1.055069
       _cons |  -.4416851   .0777862    -5.68   0.000    -.5992948   -.2840753
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.02
                                                Prob > F          =     0.8888
                                                R-squared         =     0.0005
                                                Root MSE          =      .8619

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0375151   .2665573     0.14   0.889    -.5025813    .5776115
       _cons |  -.0852922   .1420967    -0.60   0.552    -.3732075     .202623
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
file hte_age.dta saved

. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if recode_age_5 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Control
> s, 0, Facet, 1, Group, 5, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       2.36
                                                Prob > F          =     0.1346
                                                R-squared         =     0.0682
                                                Root MSE          =     1.1443

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .6044509   .3930809     1.54   0.135    -.1983275    1.407229
       _cons |   -.194228   .2524812    -0.77   0.448    -.7098634    .3214075
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       3.75
                                                Prob > F          =     0.0622
                                                R-squared         =     0.1067
                                                Root MSE          =     .88557

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.5973722   .3083729    -1.94   0.062    -1.227154    .0324093
       _cons |    .227625   .2113027     1.08   0.290    -.2039127    .6591627
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.35
                                                Prob > F          =     0.5609
                                                R-squared         =     0.0118
                                                Root MSE          =     1.1831

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2521854   .4288275     0.59   0.561    -.6235971    1.127968
       _cons |   .0930501   .3399496     0.27   0.786    -.6012196    .7873198
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       9.83
                                                Prob > F          =     0.0038
                                                R-squared         =     0.2641
                                                Root MSE          =     .92778

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -1.084756   .3460218    -3.13   0.004    -1.791427   -.3780857
       _cons |   .6620015   .2964365     2.23   0.033     .0565974    1.267406
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       3.39
                                                Prob > F          =     0.0755
                                                R-squared         =     0.0985
                                                Root MSE          =     .93193

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .6010975   .3264463     1.84   0.075    -.0655947     1.26779
       _cons |  -.1249343   .2294056    -0.54   0.590    -.5934431    .3435744
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       1.51
                                                Prob > F          =     0.2284
                                                R-squared         =     0.0415
                                                Root MSE          =      .7198

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .292238   .2376415     1.23   0.228    -.1930906    .7775667
       _cons |  -.3361547   .1158468    -2.90   0.007    -.5727454    -.099564
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       4.00
                                                Prob > F          =     0.0546
                                                R-squared         =     0.0988
                                                Root MSE          =     .95796

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .6189987   .3094872     2.00   0.055    -.0130584    1.251056
       _cons |  -.4416854   .1141417    -3.87   0.001    -.6747938    -.208577
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
file hte_age.dta saved

. 
. 
. 
. * coworkers std
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment recode_age_2 recode_age_3 recode_age_4 recode_age_5 treat_age_2 treat_age_3 treat_age_4 treat_age_
> 5, r
  3.         regsave treat_age_2 treat_age_3 treat_age_4 treat_age_5 using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `
> coworker', Level, 95, Model, 1, Controls, 0, Facet, 2, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       0.81
                                                Prob > F          =     0.6025
                                                R-squared         =     0.0061
                                                Root MSE          =     1.0033

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1137448   .1289799     0.88   0.378    -.1394816    .3669713
recode_age_2 |  -.0628706   .1215215    -0.52   0.605     -.301454    .1757128
recode_age_3 |   .0505024   .1598975     0.32   0.752    -.2634246    .3644295
recode_age_4 |   .1373095   .2438298     0.56   0.574     -.341402    .6160209
recode_age_5 |  -.0508437   .3806371    -0.13   0.894    -.7981492    .6964617
 treat_age_2 |  -.0412056   .1765541    -0.23   0.816    -.3878344    .3054232
 treat_age_3 |  -.1727007   .2178431    -0.79   0.428    -.6003924     .254991
 treat_age_4 |    .005989   .2861426     0.02   0.983    -.5557952    .5677732
 treat_age_5 |   .1642088   .4351359     0.38   0.706    -.6900941    1.018512
       _cons |  -.0219703   .0869598    -0.25   0.801    -.1926986    .1487581
------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       0.84
                                                Prob > F          =     0.5786
                                                R-squared         =     0.0156
                                                Root MSE          =      .9984

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0062545   .1216815    -0.05   0.959     -.245152     .232643
recode_age_2 |  -.0864593   .1138521    -0.76   0.448    -.3099853    .1370666
recode_age_3 |   .0643257   .1159251     0.55   0.579    -.1632701    .2919216
recode_age_4 |  -.3377677   .3529864    -0.96   0.339    -1.030786    .3552509
recode_age_5 |   -.732681   .5126139    -1.43   0.153    -1.739097    .2737346
 treat_age_2 |   -.015083   .1686381    -0.09   0.929    -.3461705    .3160044
 treat_age_3 |  -.2701848   .2042572    -1.32   0.186    -.6712032    .1308336
 treat_age_4 |   .3832171   .3800464     1.01   0.314    -.3629285    1.129363
 treat_age_5 |   .6943609   .5482114     1.27   0.206    -.3819434    1.770665
       _cons |   .0812382   .0793589     1.02   0.306    -.0745671    .2370436
------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       1.28
                                                Prob > F          =     0.2463
                                                R-squared         =     0.0299
                                                Root MSE          =     .99113

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1063487   .1387713     0.77   0.444    -.1661012    .3787985
recode_age_2 |    .084957   .1119152     0.76   0.448    -.1347662    .3046803
recode_age_3 |   .1096512   .1246686     0.88   0.379    -.1351108    .3544132
recode_age_4 |  -.2619374   .4284495    -0.61   0.541    -1.103113    .5792382
recode_age_5 |  -.9204489    .584271    -1.58   0.116    -2.067549    .2266513
 treat_age_2 |  -.2464598   .1673868    -1.47   0.141    -.5750906    .0821709
 treat_age_3 |  -.4799823   .2264326    -2.12   0.034    -.9245377   -.0354269
 treat_age_4 |   .2229071   .4557016     0.49   0.625    -.6717724    1.117587
 treat_age_5 |   .6462359    .629822     1.03   0.305    -.5902945    1.882766
       _cons |   .0221944   .0971996     0.23   0.819    -.1686377    .2130265
------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       0.81
                                                Prob > F          =     0.6025
                                                R-squared         =     0.0123
                                                Root MSE          =     1.0001

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0178264   .1407223    -0.13   0.899    -.2941068    .2584539
recode_age_2 |  -.0247005   .1159935    -0.21   0.831    -.2524307    .2030296
recode_age_3 |   .0313005   .1218637     0.26   0.797    -.2079546    .2705557
recode_age_4 |  -.1946182   .3275562    -0.59   0.553    -.8377098    .4484733
recode_age_5 |  -.4954785   .3690454    -1.34   0.180    -1.220026    .2290688
 treat_age_2 |  -.0364949   .1775825    -0.21   0.837    -.3851428     .312153
 treat_age_3 |  -.3113124   .2192043    -1.42   0.156    -.7416765    .1190517
 treat_age_4 |   .2585147   .3599611     0.72   0.473    -.4481975    .9652269
 treat_age_5 |   .2803954   .5149771     0.54   0.586    -.7306598    1.291451
       _cons |   .0699859   .0866665     0.81   0.420    -.1001666    .2401383
------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       0.82
                                                Prob > F          =     0.5987
                                                R-squared         =     0.0106
                                                Root MSE          =      1.001

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0819699   .1504364    -0.54   0.586     -.377322    .2133822
recode_age_2 |   -.024156   .1118997    -0.22   0.829    -.2438488    .1955369
recode_age_3 |   .0643128   .1218981     0.53   0.598      -.17501    .3036356
recode_age_4 |  -.3026688   .3914822    -0.77   0.440    -1.071266    .4659288
recode_age_5 |  -.4364084   .3517567    -1.24   0.215    -1.127013    .2541959
 treat_age_2 |    .024607   .1844744     0.13   0.894    -.3375719    .3867858
 treat_age_3 |  -.2247707   .2245247    -1.00   0.317    -.6655803    .2160389
 treat_age_4 |    .429693    .425038     1.01   0.312    -.4047847    1.264171
 treat_age_5 |   .2906038   .4276225     0.68   0.497     -.548948    1.130156
       _cons |   .0721772   .0829055     0.87   0.384    -.0905912    .2349456
------------------------------------------------------------------------------
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       1.44
                                                Prob > F          =     0.1652
                                                R-squared         =     0.0173
                                                Root MSE          =     .99755

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0200222   .1298821    -0.15   0.878    -.2750199    .2349754
recode_age_2 |  -.1953543   .1159447    -1.68   0.092    -.4229888    .0322801
recode_age_3 |  -.2191613   .1387796    -1.58   0.115    -.4916274    .0533048
recode_age_4 |  -.4368249    .341495    -1.28   0.201    -1.107282    .2336327
recode_age_5 |  -.4756934   .2818833    -1.69   0.092    -1.029115    .0777286
 treat_age_2 |   .0027178   .1737757     0.02   0.988    -.3384562    .3438918
 treat_age_3 |  -.1148345    .213495    -0.54   0.591    -.5339897    .3043206
 treat_age_4 |   .1107154   .4082088     0.27   0.786    -.6907216    .9121524
 treat_age_5 |   .0588907   .3887904     0.15   0.880     -.704422    .8222034
       _cons |   .1858485   .0824539     2.25   0.025     .0239665    .3477304
------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       0.62
                                                Prob > F          =     0.7774
                                                R-squared         =     0.0080
                                                Root MSE          =     1.0022

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0248255   .1292538     0.19   0.848    -.2289387    .2785898
recode_age_2 |  -.0621951   .1190111    -0.52   0.601    -.2958498    .1714596
recode_age_3 |  -.0902086   .1468576    -0.61   0.539    -.3785342    .1981171
recode_age_4 |  -.3049787   .3701717    -0.82   0.410    -1.031737    .4217799
recode_age_5 |  -.1182221   .2435446    -0.49   0.628    -.5963735    .3599294
 treat_age_2 |  -.0808525   .1750047    -0.46   0.644    -.4244395    .2627345
 treat_age_3 |  -.2152361   .2145981    -1.00   0.316    -.6365568    .2060847
 treat_age_4 |   .1352515   .4090067     0.33   0.741    -.6677518    .9382549
 treat_age_5 |  -.0248255   .3460674    -0.07   0.943    -.7042601    .6546091
       _cons |   .0879582    .085702     1.03   0.305    -.0803006     .256217
------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       0.59
                                                Prob > F          =     0.8023
                                                R-squared         =     0.0071
                                                Root MSE          =     1.0027

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0269348   .1339966     0.20   0.841    -.2361409    .2900105
recode_age_2 |  -.1107695   .1226223    -0.90   0.367    -.3515139     .129975
recode_age_3 |   -.160352   .1513079    -1.06   0.290    -.4574151    .1367111
recode_age_4 |  -.0281319   .2888199    -0.10   0.922    -.5951724    .5389086
recode_age_5 |   .0361696   .2135396     0.17   0.866     -.383073    .4554122
 treat_age_2 |   .0137702   .1797214     0.08   0.939    -.3390771    .3666176
 treat_age_3 |  -.1307783    .222557    -0.59   0.557    -.5677248    .3061682
 treat_age_4 |   -.047029   .3324855    -0.14   0.888    -.6997984    .6057403
 treat_age_5 |  -.0349725   .2876991    -0.12   0.903    -.5998125    .5298675
       _cons |   .0757458   .0849828     0.89   0.373    -.0911011    .2425926
------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       1.35
                                                Prob > F          =     0.2080
                                                R-squared         =     0.0162
                                                Root MSE          =     .99809

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0003422   .1254622     0.00   0.998     -.245978    .2466624
recode_age_2 |  -.1816267   .1198643    -1.52   0.130    -.4169564     .053703
recode_age_3 |  -.2358888   .1575085    -1.50   0.135    -.5451253    .0733478
recode_age_4 |  -.3750223   .3041241    -1.23   0.218    -.9721096     .222065
recode_age_5 |   -.534032   .2664212    -2.00   0.045    -1.057097    -.010967
 treat_age_2 |   .0052494    .169238     0.03   0.975    -.3270157    .3375145
 treat_age_3 |  -.1310067   .2297308    -0.57   0.569    -.5820375    .3200241
 treat_age_4 |   .1626428   .3924265     0.41   0.679    -.6078087    .9330943
 treat_age_5 |    .492588    .329026     1.50   0.135    -.1533893    1.138565
       _cons |   .1605023   .0864389     1.86   0.064    -.0092033    .3302079
------------------------------------------------------------------------------
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       1.66
                                                Prob > F          =     0.0957
                                                R-squared         =     0.0196
                                                Root MSE          =     .99637

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1757577   .1417124     1.24   0.215    -.1024663    .4539818
recode_age_2 |   .0978538   .1295691     0.76   0.450    -.1565295    .3522371
recode_age_3 |   .0872408   .1647765     0.53   0.597    -.2362652    .4107468
recode_age_4 |   .4592012   .2328514     1.97   0.049     .0020436    .9163587
recode_age_5 |  -.4187177   .3315525    -1.26   0.207    -1.069655    .2322197
 treat_age_2 |   -.053179   .1802739    -0.29   0.768    -.4071109    .3007529
 treat_age_3 |  -.1957972   .2269016    -0.86   0.388    -.6412734     .249679
 treat_age_4 |  -.4298922    .317649    -1.35   0.176    -1.053533    .1937486
 treat_age_5 |   .8436678   .3990542     2.11   0.035     .0602041    1.627131
       _cons |  -.1310535    .100547    -1.30   0.193    -.3284577    .0663506
------------------------------------------------------------------------------
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       0.69
                                                Prob > F          =     0.7217
                                                R-squared         =     0.0116
                                                Root MSE          =     1.0004

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0258678   .1377297     0.19   0.851    -.2445371    .2962728
recode_age_2 |  -.0781512   .1158727    -0.67   0.500    -.3056442    .1493418
recode_age_3 |  -.0440044   .1266802    -0.35   0.728    -.2927159     .204707
recode_age_4 |  -.2519441   .3561835    -0.71   0.480    -.9512397    .4473515
recode_age_5 |  -.5157162   .3867706    -1.33   0.183    -1.275063     .243631
 treat_age_2 |  -.0506397   .1779067    -0.28   0.776    -.3999242    .2986448
 treat_age_3 |  -.2789815   .2163172    -1.29   0.198    -.7036774    .1457143
 treat_age_4 |   .1952287   .3897811     0.50   0.617    -.5700291    .9604866
 treat_age_5 |    .387158   .4527173     0.86   0.393    -.5016625    1.275978
       _cons |   .0884073   .0871885     1.01   0.311    -.0827701    .2595846
------------------------------------------------------------------------------
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_age.dta saved

. 
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker'  treatment if recode_age_1 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, Contro
> ls, 0, Facet, 2, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.78
                                                Prob > F          =     0.3779
                                                R-squared         =     0.0039
                                                Root MSE          =     .91332

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1137448   .1287192     0.88   0.378    -.1400685    .3675581
       _cons |  -.0219703   .0867841    -0.25   0.800    -.1930943    .1491537
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.00
                                                Prob > F          =     0.9590
                                                R-squared         =     0.0000
                                                Root MSE          =     .85788

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0062545   .1214356    -0.05   0.959    -.2457056    .2331966
       _cons |   .0812382   .0791985     1.03   0.306    -.0749282    .2374047
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.59
                                                Prob > F          =     0.4434
                                                R-squared         =     0.0029
                                                Root MSE          =     .98792

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1063487   .1384908     0.77   0.443    -.1667326      .37943
       _cons |   .0221944   .0970032     0.23   0.819      -.16908    .2134688
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.02
                                                Prob > F          =     0.8991
                                                R-squared         =     0.0001
                                                Root MSE          =     .98523

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0178264   .1404379    -0.13   0.899     -.294747    .2590942
       _cons |   .0699859   .0864913     0.81   0.419    -.1005609    .2405327
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.30
                                                Prob > F          =     0.5857
                                                R-squared         =     0.0016
                                                Root MSE          =      1.041

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0819699   .1501324    -0.55   0.586    -.3780065    .2140666
       _cons |   .0721772   .0827379     0.87   0.384    -.0909684    .2353228
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.02
                                                Prob > F          =     0.8774
                                                R-squared         =     0.0001
                                                Root MSE          =     .91262

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0200222   .1296196    -0.15   0.877    -.2756108    .2355664
       _cons |   .1858485   .0822873     2.26   0.025     .0235914    .3481056
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.04
                                                Prob > F          =     0.8476
                                                R-squared         =     0.0002
                                                Root MSE          =     .91322

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0248255   .1289926     0.19   0.848    -.2295268    .2791779
       _cons |   .0879582   .0855288     1.03   0.305    -.0806906     .256607
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.04
                                                Prob > F          =     0.8406
                                                R-squared         =     0.0002
                                                Root MSE          =     .94142

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0269348   .1337258     0.20   0.841    -.2367506    .2906202
       _cons |   .0757458    .084811     0.89   0.373    -.0914877    .2429793
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.00
                                                Prob > F          =     0.9978
                                                R-squared         =     0.0000
                                                Root MSE          =     .89107

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0003422   .1252087     0.00   0.998    -.2465488    .2472332
       _cons |   .1605023   .0862642     1.86   0.064    -.0095966    .3306012
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       1.54
                                                Prob > F          =     0.2154
                                                R-squared         =     0.0075
                                                Root MSE          =     1.0108

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1757577    .141426     1.24   0.215    -.1031111    .4546266
       _cons |  -.1310535   .1003438    -1.31   0.193    -.3289151    .0668081
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.04
                                                Prob > F          =     0.8509
                                                R-squared         =     0.0002
                                                Root MSE          =     .96743

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0258678   .1374514     0.19   0.851    -.2451638    .2968994
       _cons |   .0884073   .0870123     1.02   0.311    -.0831668    .2599813
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_age.dta saved

. 
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker'  treatment if recode_age_2 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, Contro
> ls, 0, Facet, 2, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.36
                                                Prob > F          =     0.5463
                                                R-squared         =     0.0011
                                                Root MSE          =     1.0725

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0725392   .1201026     0.60   0.546    -.1637597    .3088382
       _cons |  -.0848409   .0845606    -1.00   0.316    -.2512119    .0815301
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.03
                                                Prob > F          =     0.8546
                                                R-squared         =     0.0001
                                                Root MSE          =     1.0386

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0213375   .1163118    -0.18   0.855    -.2501781     .207503
       _cons |  -.0052211   .0813242    -0.06   0.949    -.1652245    .1547823
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       2.26
                                                Prob > F          =     0.1339
                                                R-squared         =     0.0071
                                                Root MSE          =      .8319

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1401112   .0932418    -1.50   0.134    -.3235622    .0433399
       _cons |   .1071514   .0552609     1.94   0.053    -.0015731    .2158759
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.25
                                                Prob > F          =     0.6150
                                                R-squared         =     0.0008
                                                Root MSE          =     .96366

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0543213   .1079039    -0.50   0.615    -.2666196     .157977
       _cons |   .0452853   .0767988     0.59   0.556    -.1058145    .1963852
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.29
                                                Prob > F          =     0.5900
                                                R-squared         =     0.0009
                                                Root MSE          =     .94981

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.057363   .1063613    -0.54   0.590    -.2666262    .1519003
       _cons |   .0480212   .0748675     0.64   0.522    -.0992787    .1953212
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.02
                                                Prob > F          =     0.8805
                                                R-squared         =     0.0001
                                                Root MSE          =     1.0271

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0173044   .1150085    -0.15   0.880    -.2435808     .208972
       _cons |  -.0095058   .0812024    -0.12   0.907    -.1692697     .150258
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.23
                                                Prob > F          =     0.6339
                                                R-squared         =     0.0007
                                                Root MSE          =     1.0495

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.056027   .1175326    -0.48   0.634    -.2872694    .1752155
       _cons |   .0257631   .0822606     0.31   0.754    -.1360825    .1876088
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.12
                                                Prob > F          =     0.7332
                                                R-squared         =     0.0004
                                                Root MSE          =     1.0658

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .040705   .1193117     0.34   0.733    -.1940378    .2754479
       _cons |  -.0350237   .0880598    -0.40   0.691    -.2082793    .1382319
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.00
                                                Prob > F          =     0.9606
                                                R-squared         =     0.0000
                                                Root MSE          =     1.0107

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0055916   .1131472     0.05   0.961    -.2170229     .228206
       _cons |  -.0211244   .0827234    -0.26   0.799    -.1838807    .1416319
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       1.22
                                                Prob > F          =     0.2703
                                                R-squared         =     0.0038
                                                Root MSE          =     .99152

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1225787   .1110025     1.10   0.270     -.095816    .3409734
       _cons |  -.0331997   .0814095    -0.41   0.684     -.193371    .1269715
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.05
                                                Prob > F          =     0.8254
                                                R-squared         =     0.0002
                                                Root MSE          =     1.0016

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0247719    .112181    -0.22   0.825    -.2454853    .1959415
       _cons |   .0102561   .0760277     0.13   0.893    -.1393265    .1598386
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_age.dta saved

. 
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker'  treatment if recode_age_3 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, Contro
> ls, 0, Facet, 2, Group, 3, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       0.11
                                                Prob > F          =     0.7378
                                                R-squared         =     0.0009
                                                Root MSE          =     .98846

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0589559   .1757031    -0.34   0.738    -.4066406    .2887287
       _cons |   .0285321   .1342961     0.21   0.832    -.2372156    .2942799
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       2.83
                                                Prob > F          =     0.0947
                                                R-squared         =     0.0203
                                                Root MSE          =     .96469

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2764393   .1641944    -1.68   0.095    -.6013504    .0484718
       _cons |    .145564   .0845741     1.72   0.088     -.021793    .3129209
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       4.35
                                                Prob > F          =     0.0389
                                                R-squared         =     0.0303
                                                Root MSE          =     1.0624

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.3736337   .1790754    -2.09   0.039    -.7279916   -.0192757
       _cons |   .1318456   .0781328     1.69   0.094     -.022765    .2864562
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       3.83
                                                Prob > F          =     0.0526
                                                R-squared         =     0.0272
                                                Root MSE          =       .989

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.3291388   .1682118    -1.96   0.053    -.6619995    .0037219
       _cons |   .1012864   .0857438     1.18   0.240    -.0683852    .2709579
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       3.38
                                                Prob > F          =     0.0683
                                                R-squared         =     0.0243
                                                Root MSE          =     .97725

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.3067406   .1668139    -1.84   0.068    -.6368351    .0233539
       _cons |     .13649   .0894386     1.53   0.129    -.0404927    .3134728
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       0.63
                                                Prob > F          =     0.4280
                                                R-squared         =     0.0048
                                                Root MSE          =      .9742

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1348568   .1695848    -0.80   0.428    -.4704345    .2007209
       _cons |  -.0333128   .1117231    -0.30   0.766    -.2543926     .187767
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       1.23
                                                Prob > F          =     0.2688
                                                R-squared         =     0.0095
                                                Root MSE          =     .97809

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1904105   .1714499    -1.11   0.269     -.529679    .1488579
       _cons |  -.0022504   .1193574    -0.02   0.985    -.2384372    .2339365
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       0.34
                                                Prob > F          =     0.5603
                                                R-squared         =     0.0026
                                                Root MSE          =     1.0129

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1038435    .177847    -0.58   0.560    -.4557706    .2480836
       _cons |  -.0846062    .125293    -0.68   0.501    -.3325385    .1633261
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       0.46
                                                Prob > F          =     0.4988
                                                R-squared         =     0.0035
                                                Root MSE          =     1.1013

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1306645   .1926076    -0.68   0.499    -.5118001    .2504711
       _cons |  -.0753865   .1317815    -0.57   0.568    -.3361582    .1853852
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       0.01
                                                Prob > F          =     0.9102
                                                R-squared         =     0.0001
                                                Root MSE          =     1.0036

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0200394   .1773547    -0.11   0.910    -.3709923    .3309135
       _cons |  -.0438127    .130653    -0.34   0.738    -.3023515    .2147261
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       2.30
                                                Prob > F          =     0.1320
                                                R-squared         =     0.0167
                                                Root MSE          =     .97595

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2531137   .1669443    -1.52   0.132    -.5834663    .0772389
       _cons |   .0444029   .0919795     0.48   0.630    -.1376079    .2264137
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_age.dta saved

. 
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker'  treatment if recode_age_4 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, Contro
> ls, 0, Facet, 2, Group, 4, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.21
                                                Prob > F          =     0.6484
                                                R-squared         =     0.0062
                                                Root MSE          =     .77783

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1197339   .2604148     0.46   0.648    -.4079167    .6473845
       _cons |   .1153392   .2322463     0.50   0.622    -.3552364    .5859148
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       1.05
                                                Prob > F          =     0.3111
                                                R-squared         =     0.0312
                                                Root MSE          =     1.0746

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3769626   .3670741     1.03   0.311    -.3668001    1.120725
       _cons |  -.2565295   .3506696    -0.73   0.469    -.9670536    .4539945
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.55
                                                Prob > F          =     0.4616
                                                R-squared         =     0.0167
                                                Root MSE          =     1.2929

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3292557   .4425381     0.74   0.462    -.5674117    1.225923
       _cons |   -.239743   .4254306    -0.56   0.576    -1.101747    .6222612
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.51
                                                Prob > F          =     0.4806
                                                R-squared         =     0.0153
                                                Root MSE          =     .98947

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2406883   .3377872     0.71   0.481    -.4437336    .9251101
       _cons |  -.1246324   .3220542    -0.39   0.701    -.7771761    .5279113
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.74
                                                Prob > F          =     0.3964
                                                R-squared         =     0.0221
                                                Root MSE          =     1.1836

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3477231   .4052914     0.86   0.396    -.4734752    1.168921
       _cons |  -.2304916   .3900777    -0.59   0.558    -1.020864    .5598809
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.05
                                                Prob > F          =     0.8195
                                                R-squared         =     0.0015
                                                Root MSE          =     1.1907

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0906932   .3945556     0.23   0.819    -.7087523    .8901387
       _cons |  -.2509764   .3378656    -0.74   0.462     -.935557    .4336042
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.16
                                                Prob > F          =     0.6881
                                                R-squared         =     0.0049
                                                Root MSE          =     1.1685

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1600771   .3956274     0.40   0.688    -.6415401    .9616943
       _cons |  -.2170205   .3671496    -0.59   0.558    -.9609363    .5268954
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.00
                                                Prob > F          =     0.9487
                                                R-squared         =     0.0001
                                                Root MSE          =     .92234

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0200942   .3102334    -0.06   0.949    -.6486867    .6084983
       _cons |   .0476138   .2814269     0.17   0.867    -.5226113     .617839
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.18
                                                Prob > F          =     0.6697
                                                R-squared         =     0.0051
                                                Root MSE          =     1.1662

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .162985   .3790946     0.43   0.670    -.6051337    .9311037
       _cons |    -.21452   .2972781    -0.72   0.475    -.8168626    .3878226
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.77
                                                Prob > F          =     0.3862
                                                R-squared         =     0.0204
                                                Root MSE          =     .90132

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2541344     .28984    -0.88   0.386     -.841406    .3331371
       _cons |   .3281476   .2141272     1.53   0.134    -.1057152    .7620105
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.35
                                                Prob > F          =     0.5556
                                                R-squared         =     0.0106
                                                Root MSE          =     1.0913

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2210966   .3717604     0.59   0.556    -.5321615    .9743547
       _cons |  -.1635368   .3520944    -0.46   0.645    -.8769478    .5498742
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_age.dta saved

. 
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker'  treatment if recode_age_5 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, Contro
> ls, 0, Facet, 2, Group, 5, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.43
                                                Prob > F          =     0.5193
                                                R-squared         =     0.0158
                                                Root MSE          =     1.1232

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2779536   .4262273     0.65   0.519    -.5925186    1.148426
       _cons |   -.072814   .3800641    -0.19   0.849    -.8490084    .7033803
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       1.58
                                                Prob > F          =     0.2191
                                                R-squared         =     0.0595
                                                Root MSE          =     1.4014

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .6881064   .5482305     1.26   0.219    -.4315297    1.807743
       _cons |  -.6514428   .5194078    -1.25   0.219    -1.712215    .4093294
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       1.43
                                                Prob > F          =     0.2417
                                                R-squared         =     0.0536
                                                Root MSE          =     1.6196

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7525845   .6300822     1.19   0.242     -.534215    2.039384
       _cons |  -.8982545   .5908887    -1.52   0.139     -2.10501    .3085012
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.27
                                                Prob > F          =     0.6091
                                                R-squared         =     0.0087
                                                Root MSE          =     1.4395

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .262569    .508068     0.52   0.609    -.7750442    1.300182
       _cons |  -.4254927   .3679146    -1.16   0.257    -1.176875    .3258892
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.26
                                                Prob > F          =     0.6150
                                                R-squared         =     0.0093
                                                Root MSE          =     1.1022

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2086339   .4105419     0.51   0.615    -.6298045    1.047072
       _cons |  -.3642312   .3506046    -1.04   0.307    -1.080261    .3517989
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.01
                                                Prob > F          =     0.9183
                                                R-squared         =     0.0004
                                                Root MSE          =     1.0604

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0388685    .375842     0.10   0.918    -.7287033    .8064403
       _cons |  -.2898449   .2764599    -1.05   0.303    -.8544513    .2747616
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.00
                                                Prob > F          =     1.0000
                                                R-squared         =     0.0000
                                                Root MSE          =     .93751

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   3.75e-09   .3292476     0.00   1.000    -.6724132    .6724132
       _cons |  -.0302639   .2338075    -0.13   0.898    -.5077626    .4472348
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable pval was byte, now float to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable r2 was byte, now float to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.00
                                                Prob > F          =     0.9756
                                                R-squared         =     0.0000
                                                Root MSE          =     .72721

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0080377   .2611114    -0.03   0.976    -.5412983    .5252229
       _cons |   .1119154   .2009194     0.56   0.582    -.2984167    .5222475
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       2.50
                                                Prob > F          =     0.1246
                                                R-squared         =     0.0816
                                                Root MSE          =     .84743

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4929302   .3119589     1.58   0.125    -.1441749    1.130035
       _cons |  -.3735297   .2584651    -1.45   0.159    -.9013859    .1543264
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       7.10
                                                Prob > F          =     0.0123
                                                R-squared         =     0.2044
                                                Root MSE          =     1.0306

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   1.019426   .3826008     2.66   0.012     .2380504    1.800801
       _cons |  -.5497712   .3240326    -1.70   0.100    -1.211534    .1119917
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.87
                                                Prob > F          =     0.3579
                                                R-squared         =     0.0314
                                                Root MSE          =     1.1762

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4130258   .4423061     0.93   0.358    -.4902837    1.316335
       _cons |  -.4273089   .3864685    -1.11   0.278    -1.216583     .361965
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_age.dta saved

. 
. 
. 
. * refugees std
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment recode_age_2 recode_age_3 recode_age_4 recode_age_5 treat_age_2 treat_age_3 treat_age_4 treat_age_5
> , r
  3.         regsave treat_age_2 treat_age_3 treat_age_4 treat_age_5 using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `
> refugee', Level, 95, Model, 1, Controls, 0, Facet, 3, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       1.42
                                                Prob > F          =     0.1770
                                                R-squared         =     0.0190
                                                Root MSE          =     .99669

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0131749   .1334295     0.10   0.921    -.2487874    .2751371
recode_age_2 |   .0754832   .1161446     0.65   0.516    -.1525438    .3035101
recode_age_3 |   .2149351   .1587915     1.35   0.176    -.0968205    .5266908
recode_age_4 |   .2149351    .280183     0.77   0.443    -.3351486    .7650188
recode_age_5 |   .4539956   .3734572     1.22   0.225    -.2792134    1.187205
 treat_age_2 |   .1753923   .1721338     1.02   0.309    -.1625583    .5133429
 treat_age_3 |   .1808453   .2317204     0.78   0.435    -.2740917    .6357823
 treat_age_4 |  -.0131748   .3734064    -0.04   0.972    -.7462841    .7199344
 treat_age_5 |  -.1902567    .428635    -0.44   0.657    -1.031796    .6512831
       _cons |  -.1608541   .0915807    -1.76   0.079    -.3406547    .0189465
------------------------------------------------------------------------------
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       1.11
                                                Prob > F          =     0.3561
                                                R-squared         =     0.0146
                                                Root MSE          =     .99894

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .114046   .1272875     0.90   0.371    -.1358577    .3639497
recode_age_2 |   .1653104   .1243649     1.33   0.184    -.0788553    .4094761
recode_age_3 |   .2383234   .1694265     1.41   0.160     -.094312    .5709587
recode_age_4 |   .5457464    .251144     2.17   0.030      .052675    1.038818
recode_age_5 |   .1504882    .272388     0.55   0.581    -.3842915     .685268
 treat_age_2 |  -.1831436   .1697985    -1.08   0.281    -.5165092    .1502219
 treat_age_3 |  -.0672642   .2326252    -0.29   0.773    -.5239777    .3894493
 treat_age_4 |  -.4434278   .3390011    -1.31   0.191    -1.108989    .2221335
 treat_age_5 |   .2812122   .3904403     0.72   0.472    -.4853398    1.047764
       _cons |  -.1561452   .0921947    -1.69   0.091    -.3371512    .0248608
------------------------------------------------------------------------------
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       0.76
                                                Prob > F          =     0.6565
                                                R-squared         =     0.0092
                                                Root MSE          =     1.0017

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2329753   .1318718     1.77   0.078    -.0259287    .4918794
recode_age_2 |   .1136333   .1231731     0.92   0.357    -.1281927    .3554593
recode_age_3 |     .04601   .1616435     0.28   0.776     -.271345     .363365
recode_age_4 |  -.0076013   .2615272    -0.03   0.977    -.5210579    .5058554
recode_age_5 |   .1316487   .2989472     0.44   0.660    -.4552748    .7185722
 treat_age_2 |  -.2098365   .1738279    -1.21   0.228    -.5511131    .1314401
 treat_age_3 |   .0333857   .2317287     0.14   0.885    -.4215675    .4883389
 treat_age_4 |  -.0310628   .3521232    -0.09   0.930    -.7223869    .6602612
 treat_age_5 |  -.4209628   .3635503    -1.16   0.247    -1.134722     .292796
       _cons |  -.1259206   .0911737    -1.38   0.168    -.3049221    .0530809
------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       1.00
                                                Prob > F          =     0.4349
                                                R-squared         =     0.0104
                                                Root MSE          =      1.001

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0819413   .1396995     0.59   0.558    -.1923309    .3562134
recode_age_2 |   .1414263   .1189356     1.19   0.235      -.09208    .3749326
recode_age_3 |   .1988064   .1679109     1.18   0.237    -.1308532     .528466
recode_age_4 |   .2357407    .258352     0.91   0.362     -.271482    .7429635
recode_age_5 |  -.0205383   .2897449    -0.07   0.944    -.5893948    .5483183
 treat_age_2 |   .0551812   .1788608     0.31   0.758    -.2959764    .4063387
 treat_age_3 |  -.0977702    .237937    -0.41   0.681    -.5649124    .3693719
 treat_age_4 |   .0461983   .3502761     0.13   0.895    -.6414992    .7338957
 treat_age_5 |  -.0367155   .3294749    -0.11   0.911    -.6835741    .6101431
       _cons |   -.154038   .0872818    -1.76   0.078    -.3253985    .0173225
------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       0.78
                                                Prob > F          =     0.6358
                                                R-squared         =     0.0100
                                                Root MSE          =     1.0013

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1362389    .129507     1.05   0.293    -.1180225    .3905002
recode_age_2 |   .1508923   .1205135     1.25   0.211    -.0857119    .3874965
recode_age_3 |   .2100995   .1702124     1.23   0.217    -.1240786    .5442777
recode_age_4 |   .2979681    .279892     1.06   0.287    -.2515444    .8474805
recode_age_5 |   .2126272   .3302827     0.64   0.520    -.4358173    .8610716
 treat_age_2 |  -.0531286   .1698858    -0.31   0.755    -.3866657    .2804085
 treat_age_3 |   .0127253    .237287     0.05   0.957    -.4531405    .4785911
 treat_age_4 |  -.1339623   .3774756    -0.35   0.723    -.8750607    .6071362
 treat_age_5 |  -.1126635   .3910364    -0.29   0.773    -.8803857    .6550587
       _cons |  -.1806565    .091197    -1.98   0.048    -.3597037   -.0016093
------------------------------------------------------------------------------
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_age.dta saved

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if recode_age_1 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Control
> s, 0, Facet, 3, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.01
                                                Prob > F          =     0.9213
                                                R-squared         =     0.0000
                                                Root MSE          =     .94715

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0131749   .1331598     0.10   0.921    -.2493945    .2757442
       _cons |  -.1608541   .0913957    -1.76   0.080    -.3410713    .0193632
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.81
                                                Prob > F          =     0.3704
                                                R-squared         =     0.0039
                                                Root MSE          =      .9107

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .114046   .1270302     0.90   0.370    -.1364369    .3645288
       _cons |  -.1561452   .0920084    -1.70   0.091    -.3375706    .0252803
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       3.13
                                                Prob > F          =     0.0782
                                                R-squared         =     0.0153
                                                Root MSE          =     .93706

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2329753   .1316053     1.77   0.078    -.0265287    .4924794
       _cons |  -.1259206   .0909895    -1.38   0.168    -.3053369    .0534957
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.35
                                                Prob > F          =     0.5574
                                                R-squared         =     0.0018
                                                Root MSE          =     .97972

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0819413   .1394171     0.59   0.557    -.1929665     .356849
       _cons |   -.154038   .0871054    -1.77   0.079    -.3257956    .0177197
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       1.11
                                                Prob > F          =     0.2931
                                                R-squared         =     0.0054
                                                Root MSE          =     .92268

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1362389   .1292453     1.05   0.293    -.1186117    .3910894
       _cons |  -.1806565   .0910127    -1.98   0.049    -.3601186   -.0011944
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_age.dta saved

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if recode_age_2 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Control
> s, 0, Facet, 3, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       3.03
                                                Prob > F          =     0.0827
                                                R-squared         =     0.0095
                                                Root MSE          =     .96705

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1885671   .1083347     1.74   0.083    -.0245788    .4017131
       _cons |  -.0853709   .0711591    -1.20   0.231    -.2253747    .0546329
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.38
                                                Prob > F          =     0.5375
                                                R-squared         =     0.0012
                                                Root MSE          =     1.0001

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0690977   .1119512    -0.62   0.538     -.289359    .1511636
       _cons |   .0091652   .0831481     0.11   0.912    -.1544267    .1727571
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.04
                                                Prob > F          =     0.8376
                                                R-squared         =     0.0001
                                                Root MSE          =     1.0077

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0231388    .112819     0.21   0.838    -.1988299    .2451075
       _cons |  -.0122873   .0825024    -0.15   0.882    -.1746088    .1500342
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       1.52
                                                Prob > F          =     0.2187
                                                R-squared         =     0.0048
                                                Root MSE          =     .99378

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1371224   .1112657     1.23   0.219    -.0817902     .356035
       _cons |  -.0126117   .0804845    -0.16   0.876     -.170963    .1457396
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.58
                                                Prob > F          =     0.4485
                                                R-squared         =     0.0018
                                                Root MSE          =     .97822

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0831103   .1095304     0.76   0.449    -.1323881    .2986087
       _cons |  -.0297642   .0784809    -0.38   0.705    -.1841735    .1246451
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_age.dta saved

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if recode_age_3 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Control
> s, 0, Facet, 3, Group, 3, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       1.05
                                                Prob > F          =     0.3081
                                                R-squared         =     0.0080
                                                Root MSE          =      1.084

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1940201    .189608     1.02   0.308    -.1811799    .5692202
       _cons |   .0540811   .1298306     0.42   0.678    -.2028302    .3109924
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       0.06
                                                Prob > F          =     0.8107
                                                R-squared         =     0.0005
                                                Root MSE          =     1.1043

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0467818   .1948745     0.24   0.811    -.3388397    .4324033
       _cons |   .0821782   .1422653     0.58   0.565    -.1993392    .3636956
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       1.95
                                                Prob > F          =     0.1649
                                                R-squared         =     0.0149
                                                Root MSE          =      1.087

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .266361   .1907065     1.40   0.165    -.1110128    .6437348
       _cons |  -.0799106   .1335886    -0.60   0.551    -.3442583    .1844371
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       0.01
                                                Prob > F          =     0.9347
                                                R-squared         =     0.0001
                                                Root MSE          =      1.089

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.015829   .1927703    -0.08   0.935    -.3972867    .3656287
       _cons |   .0447684   .1435636     0.31   0.756     -.239318    .3288548
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       0.56
                                                Prob > F          =     0.4555
                                                R-squared         =     0.0044
                                                Root MSE          =     1.1293

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1489641    .198996     0.75   0.455    -.2448131    .5427414
       _cons |    .029443   .1438403     0.20   0.838     -.255191    .3140771
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_age.dta saved

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if recode_age_4 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Control
> s, 0, Facet, 3, Group, 4, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.00
                                                Prob > F          =     1.0000
                                                R-squared         =     0.0000
                                                Root MSE          =     1.1004

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   1.54e-08   .3555668     0.00   1.000    -.7204468    .7204468
       _cons |   .0540811   .2699665     0.20   0.842    -.4929229    .6010851
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable r2 was byte, now float to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       1.06
                                                Prob > F          =     0.3105
                                                R-squared         =     0.0279
                                                Root MSE          =     .99507

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.3293818   .3203351    -1.03   0.311    -.9784425    .3196788
       _cons |   .3896012   .2381736     1.64   0.110    -.0929842    .8721867
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.37
                                                Prob > F          =     0.5478
                                                R-squared         =     0.0099
                                                Root MSE          =     1.0323

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2019125   .3328762     0.61   0.548    -.4725587    .8763837
       _cons |  -.1335219   .2499088    -0.53   0.596    -.6398852    .3728415
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.15
                                                Prob > F          =     0.6978
                                                R-squared         =     0.0042
                                                Root MSE          =     1.0141

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1281395   .3274878     0.39   0.698    -.5354137    .7916927
       _cons |   .0817028   .2479123     0.33   0.744    -.4206152    .5840208
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.00
                                                Prob > F          =     0.9950
                                                R-squared         =     0.0000
                                                Root MSE          =     1.1222

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0022766   .3614912     0.01   0.995    -.7301742    .7347274
       _cons |   .1173116   .2697877     0.43   0.666    -.4293302    .6639534
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_age.dta saved

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if recode_age_5 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Control
> s, 0, Facet, 3, Group, 5, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.18
                                                Prob > F          =     0.6747
                                                R-squared         =     0.0067
                                                Root MSE          =     1.1026

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1770818   .4177737    -0.42   0.675     -1.03029    .6761259
       _cons |   .2931416   .3713294     0.79   0.436    -.4652143    1.051497
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       1.09
                                                Prob > F          =     0.3048
                                                R-squared         =     0.0337
                                                Root MSE          =     1.0838

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3952582   .3785651     1.04   0.305    -.3778748    1.168391
       _cons |   -.005657   .2628773    -0.02   0.983    -.5425241    .5312102
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.29
                                                Prob > F          =     0.5925
                                                R-squared         =     0.0104
                                                Root MSE          =     .93882

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1879875   .3474692    -0.54   0.592    -.8976143    .5216393
       _cons |   .0057281   .2919984     0.02   0.984    -.5906121    .6020684
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.02
                                                Prob > F          =     0.8835
                                                R-squared         =     0.0009
                                                Root MSE          =      .7919

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0452257   .3060363     0.15   0.884    -.5797838    .6702352
       _cons |  -.1745763    .283364    -0.62   0.542    -.7532828    .4041303
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.00
                                                Prob > F          =     0.9507
                                                R-squared         =     0.0001
                                                Root MSE          =     1.0129

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0235754   .3784203     0.06   0.951     -.749262    .7964127
       _cons |   .0319707   .3255749     0.10   0.922    -.6329419    .6968833
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_age.dta saved

. 
. 
. 
. 
. 
. * demo std
. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment recode_age_2 recode_age_3 recode_age_4 recode_age_5 treat_age_2 treat_age_3 treat_age_4 treat_age_5, r
  3.         regsave treat_age_2 treat_age_3 treat_age_4 treat_age_5 using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `
> demo', Level, 95, Model, 1, Controls, 0, Facet, 4, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(8, 712)         =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0140
                                                Root MSE          =     .99923

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.173407    .143219    -1.21   0.226    -.4545891    .1077752
recode_age_2 |  -.1108657   .1208419    -0.92   0.359    -.3481149    .1263835
recode_age_3 |  -.2426534   .1719765    -1.41   0.159    -.5802951    .0949882
recode_age_4 |  -.1051358   .2589695    -0.41   0.685    -.6135709    .4032993
recode_age_5 |   .1568025    .210282     0.75   0.456    -.2560444    .5696495
 treat_age_2 |   .2396792   .1822245     1.32   0.189    -.1180823    .5974408
 treat_age_3 |   .2511343   .2433281     1.03   0.302    -.2265921    .7288607
 treat_age_4 |   .6317991   .2823102     2.24   0.026      .077539    1.186059
 treat_age_5 |   .2170634   .2814464     0.77   0.441    -.3355007    .7696274
       _cons |   .0772006   .0887571     0.87   0.385    -.0970564    .2514575
------------------------------------------------------------------------------
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       1.43
                                                Prob > F          =     0.1728
                                                R-squared         =     0.0185
                                                Root MSE          =     .99697

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1147833   .1359171     0.84   0.399     -.152063    .3816295
recode_age_2 |  -.0298348   .1196477    -0.25   0.803    -.2647393    .2050696
recode_age_3 |   .4515945   .1640763     2.75   0.006     .1294634    .7737257
recode_age_4 |  -.0233879   .2251822    -0.10   0.917    -.4654884    .4187125
recode_age_5 |   -.103382   .2650941    -0.39   0.697    -.6238417    .4170777
 treat_age_2 |  -.0138978   .1746942    -0.08   0.937    -.3568751    .3290795
 treat_age_3 |  -.3909398   .2350637    -1.66   0.097    -.8524407     .070561
 treat_age_4 |   .1483552   .3308367     0.45   0.654     -.501177    .7978874
 treat_age_5 |   .2353663   .3785212     0.62   0.534    -.5077848    .9785175
       _cons |   -.088812   .0931311    -0.95   0.341    -.2716564    .0940325
------------------------------------------------------------------------------
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        722
                                                F(9, 712)         =       1.10
                                                Prob > F          =     0.3605
                                                R-squared         =     0.0120
                                                Root MSE          =     1.0003

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2341787   .1373572     1.70   0.089    -.0354948    .5038522
recode_age_2 |   .0115592    .128671     0.09   0.928    -.2410607    .2641792
recode_age_3 |   .2124218   .1561956     1.36   0.174    -.0942373    .5190808
recode_age_4 |   -.006701   .2645573    -0.03   0.980    -.5261067    .5127047
recode_age_5 |  -.0588731   .2995461    -0.20   0.844    -.6469724    .5292262
 treat_age_2 |  -.1835324   .1788753    -1.03   0.305    -.5347185    .1676538
 treat_age_3 |  -.4850584   .2222398    -2.18   0.029    -.9213821   -.0487347
 treat_age_4 |   .0788539   .3387147     0.23   0.816    -.5861452     .743853
 treat_age_5 |   .1831981   .3691655     0.50   0.620    -.5415851    .9079812
       _cons |  -.0772657   .0994006    -0.78   0.437    -.2724191    .1178877
------------------------------------------------------------------------------
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_age.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if recode_age_1 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Controls, 
> 0, Facet, 4, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       1.47
                                                Prob > F          =     0.2265
                                                R-squared         =     0.0074
                                                Root MSE          =     1.0034

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.173407   .1429296    -1.21   0.226    -.4552407    .1084268
       _cons |   .0772006   .0885777     0.87   0.384    -.0974602    .2518613
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       0.72
                                                Prob > F          =     0.3984
                                                R-squared         =     0.0035
                                                Root MSE          =     .96459

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1147833   .1356424     0.85   0.398    -.1526814    .3822479
       _cons |   -.088812   .0929429    -0.96   0.340    -.2720801    .0944562
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        203
                                                F(1, 201)         =       2.92
                                                Prob > F          =     0.0891
                                                R-squared         =     0.0141
                                                Root MSE          =     .98261

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2341787   .1370796     1.71   0.089    -.0361198    .5044771
       _cons |  -.0772657   .0991997    -0.78   0.437    -.2728713    .1183399
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_age.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if recode_age_2 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Controls, 
> 0, Facet, 4, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.35
                                                Prob > F          =     0.5553
                                                R-squared         =     0.0011
                                                Root MSE          =     1.0025

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0662723   .1122374     0.59   0.555     -.154552    .2870965
       _cons |  -.0336652   .0816924    -0.41   0.681     -.194393    .1270627
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.85
                                                Prob > F          =     0.3568
                                                R-squared         =     0.0027
                                                Root MSE          =     .97615

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1008855   .1093284     0.92   0.357    -.1142156    .3159865
       _cons |  -.1186468   .0748273    -1.59   0.114    -.2658676     .028574
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        319
                                                F(1, 317)         =       0.20
                                                Prob > F          =     0.6576
                                                R-squared         =     0.0006
                                                Root MSE          =     1.0194

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0506463   .1141456     0.44   0.658    -.1739325    .2752251
       _cons |  -.0657065    .081393    -0.81   0.420    -.2258451    .0944322
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_age.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if recode_age_3 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Controls, 
> 0, Facet, 4, Group, 3, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       0.16
                                                Prob > F          =     0.6937
                                                R-squared         =     0.0012
                                                Root MSE          =     1.1113

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0777274   .1968803     0.39   0.694    -.3118633     .467318
       _cons |  -.1654529   .1474263    -1.12   0.264     -.457183    .1262772
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       2.07
                                                Prob > F          =     0.1527
                                                R-squared         =     0.0159
                                                Root MSE          =     1.0933

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2761566   .1919459    -1.44   0.153    -.6559829    .1036698
       _cons |   .3627826   .1351971     2.68   0.008     .0952519    .6303133
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =        129
                                                F(1, 127)         =       2.06
                                                Prob > F          =     0.1538
                                                R-squared         =     0.0157
                                                Root MSE          =     .99878

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2508797   .1748565    -1.43   0.154    -.5968892    .0951298
       _cons |   .1351561   .1205859     1.12   0.264    -.1034617    .3737739
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_age.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if recode_age_4 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Controls, 
> 0, Facet, 4, Group, 4, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         39
                                                F(0, 37)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0972
                                                Root MSE          =     .71492

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4583921   .2480375     1.85   0.073    -.0441796    .9609638
       _cons |  -.0279353   .2480375    -0.11   0.911    -.5305069    .4746364
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.73
                                                Prob > F          =     0.3977
                                                R-squared         =     0.0190
                                                Root MSE          =     .96865

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2631385   .3075208     0.86   0.398    -.3599579    .8862349
       _cons |  -.1121999   .2090264    -0.54   0.595    -.5357276    .3113278
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         39
                                                F(1, 37)          =       0.98
                                                Prob > F          =     0.3278
                                                R-squared         =     0.0266
                                                Root MSE          =     .96917

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3130326   .3156626     0.99   0.328    -.3265606    .9526257
       _cons |  -.0839667   .2499634    -0.34   0.739    -.5904407    .4225073
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_age.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if recode_age_5 == 1, r
  3.         regsave treatment using "hte_age.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Controls, 
> 0, Facet, 4, Group, 5, Facet2, 1)
  4. }

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.03
                                                Prob > F          =     0.8617
                                                R-squared         =     0.0011
                                                Root MSE          =     .68722

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0436564   .2484884     0.18   0.862    -.4638247    .5511374
       _cons |   .2340031    .195516     1.20   0.241    -.1652939    .6333001
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       0.93
                                                Prob > F          =     0.3416
                                                R-squared         =     0.0292
                                                Root MSE          =     1.0344

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3501496   .3623276     0.97   0.342    -.3898221    1.090121
       _cons |   -.192194   .2545549    -0.76   0.456    -.7120644    .3276764
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_age.dta saved

Linear regression                               Number of obs     =         32
                                                F(1, 30)          =       1.41
                                                Prob > F          =     0.2443
                                                R-squared         =     0.0476
                                                Root MSE          =     .95633

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4173767   .3514388     1.19   0.244    -.3003571    1.135111
       _cons |  -.1361388   .2898118    -0.47   0.642    -.7280135    .4557359
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable N was byte, now int to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_age.dta saved

. 
. 
. 
. 
. 
. use hte_age.dta, clear

. drop variable

. 
. gen var2 = .
(234 missing values generated)

. replace var2 = 1 if Var== "stdjoy"
(9 real changes made)

. replace var2 = 2 if Var== "stdpride"
(9 real changes made)

. replace var2 = 3 if Var== "stdsadness"
(9 real changes made)

. replace var2 = 4 if Var== "stdhostility"
(9 real changes made)

. replace var2 = 5 if Var== "stdfear"
(9 real changes made)

. replace var2 = 6 if Var== "stddisgust"
(9 real changes made)

. replace var2 = 7 if Var== "stdanger"
(9 real changes made)

. replace var2 = 8 if Var== "stddisabled"
(9 real changes made)

. replace var2 = 9 if Var== "stdjewish"
(9 real changes made)

. replace var2 = 10 if Var== "stdasian"
(9 real changes made)

. replace var2 = 11 if Var== "stdblack"
(9 real changes made)

. replace var2 = 12 if Var== "stdlgb"
(9 real changes made)

. replace var2 = 13 if Var== "stdmuslim"
(9 real changes made)

. replace var2 = 14 if Var== "stdintersex"
(9 real changes made)

. replace var2 = 15 if Var== "stdtrans"
(9 real changes made)

. replace var2 = 16 if Var== "stdroma"
(9 real changes made)

. replace var2 = 17 if Var== "stdwitness"
(9 real changes made)

. replace var2 = 18 if Var== "stdc1"
(9 real changes made)

. replace var2 = 19 if Var== "stdrefrights"
(9 real changes made)

. replace var2 = 20 if Var== "stdrefterror_inv"
(9 real changes made)

. replace var2 = 21 if Var== "stdrefcrime_inv"
(9 real changes made)

. replace var2 = 22 if Var== "stdrefmoney_inv"
(9 real changes made)

. replace var2 = 23 if Var== "stdr1"
(9 real changes made)

. replace var2 = 24 if Var== "stdprodemo"
(9 real changes made)

. replace var2 = 25 if Var== "stddonationyn"
(9 real changes made)

. replace var2 = 26 if Var== "stdquantity"
(9 real changes made)

. tab var2

       var2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          9        3.85        3.85
          2 |          9        3.85        7.69
          3 |          9        3.85       11.54
          4 |          9        3.85       15.38
          5 |          9        3.85       19.23
          6 |          9        3.85       23.08
          7 |          9        3.85       26.92
          8 |          9        3.85       30.77
          9 |          9        3.85       34.62
         10 |          9        3.85       38.46
         11 |          9        3.85       42.31
         12 |          9        3.85       46.15
         13 |          9        3.85       50.00
         14 |          9        3.85       53.85
         15 |          9        3.85       57.69
         16 |          9        3.85       61.54
         17 |          9        3.85       65.38
         18 |          9        3.85       69.23
         19 |          9        3.85       73.08
         20 |          9        3.85       76.92
         21 |          9        3.85       80.77
         22 |          9        3.85       84.62
         23 |          9        3.85       88.46
         24 |          9        3.85       92.31
         25 |          9        3.85       96.15
         26 |          9        3.85      100.00
------------+-----------------------------------
      Total |        234      100.00

. 
. 
. save hte_age.dta, replace
file hte_age.dta saved

. 
. 
. use stones.dta, clear

. 
. 
. * ················  Figure E.7 Gender ····································· * 
. 
. 
. use stones.dta, clear

. gen woman_treat = treatment * woman

. gen men = 0

. replace men = 1 if gender == 1
(377 real changes made)

. gen man_treat = treatment * men

. save stones.dta, replace
file stones.dta saved

. 
. clear

. gen variable = .

. save hte_gender.dta, replace
(note: dataset contains 0 observations)
(note: file hte_gender.dta not found)
file hte_gender.dta saved

. use stones.dta, clear

. 
. 
. *emotions std
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment woman woman_treat, r
  3.         regsave woman_treat using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Co
> ntrols, 0, Facet, 1, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      46.97
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1673
                                                Root MSE          =     .91441

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .6785335   .0887005     7.65   0.000     .5043901     .852677
       woman |  -.0663262   .0747391    -0.89   0.375    -.2130596    .0804071
 woman_treat |   .2653397   .1374069     1.93   0.054    -.0044276     .535107
       _cons |  -.3696821   .0533179    -6.93   0.000    -.4743597   -.2650045
------------------------------------------------------------------------------
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      63.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2107
                                                Root MSE          =     .89026

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -1.018809   .0916636   -11.11   0.000     -1.19877   -.8388482
       woman |  -.0845083    .086793    -0.97   0.331    -.2549067      .08589
 woman_treat |   .2293037   .1326401     1.73   0.084    -.0311051    .4897125
       _cons |   .4961122   .0600309     8.26   0.000     .3782552    .6139692
------------------------------------------------------------------------------
(note: variable Var was str6, now str8 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       5.53
                                                Prob > F          =     0.0009
                                                R-squared         =     0.0193
                                                Root MSE          =     .99236

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2571312   .0958974     2.68   0.008     .0688583    .4454041
       woman |    .292738   .1046862     2.80   0.005     .0872104    .4982656
 woman_treat |  -.1798934   .1483695    -1.21   0.226    -.4711834    .1113965
       _cons |  -.2263393   .0637417    -3.55   0.000    -.3514817    -.101197
------------------------------------------------------------------------------
(note: variable Var was str7, now str8 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      35.40
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1257
                                                Root MSE          =       .937

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.7488877   .0973432    -7.69   0.000    -.9399989   -.5577764
       woman |  -.1910576   .1039921    -1.84   0.067    -.3952225    .0131074
 woman_treat |   .1109653   .1393182     0.80   0.426    -.1625545    .3844852
       _cons |   .4397648   .0706841     6.22   0.000     .3009926    .5785369
------------------------------------------------------------------------------
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      48.51
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1661
                                                Root MSE          =     .91506

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7587071   .0917154     8.27   0.000     .5786448    .9387695
       woman |   .2087137   .0859435     2.43   0.015     .0399831    .3774442
 woman_treat |   .0532264   .1366591     0.39   0.697    -.2150728    .3215255
       _cons |   -.491544    .057175    -8.60   0.000    -.6037941   -.3792939
------------------------------------------------------------------------------
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      45.25
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1584
                                                Root MSE          =     .91929

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8473216   .0937119     9.04   0.000     .6633395    1.031304
       woman |   .0419374   .0537353     0.78   0.435    -.0635597    .1474346
 woman_treat |  -.1135874   .1371256    -0.83   0.408    -.3828025    .1556276
       _cons |  -.4171125   .0366176   -11.39   0.000    -.4890029   -.3452221
------------------------------------------------------------------------------
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      16.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0533
                                                Root MSE          =       .975

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3750446    .106175     3.53   0.000      .166594    .5834951
       woman |  -.2354013   .0847785    -2.78   0.006    -.4018447   -.0689579
 woman_treat |   .0771606   .1448626     0.53   0.594    -.2072442    .3615655
       _cons |  -.0930994   .0688506    -1.35   0.177    -.2282721    .0420732
------------------------------------------------------------------------------
file hte_gender.dta saved

. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if woman == 1, r
  3.         regsave treatment using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Cont
> rols, 0, Facet, 1, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =      80.88
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1939
                                                Root MSE          =     .96496

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .9438733   .1049558     8.99   0.000     .7374353    1.150311
       _cons |  -.4360083   .0523817    -8.32   0.000    -.5390382   -.3329785
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =      67.80
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1657
                                                Root MSE          =     .88803

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.7895052    .095883    -8.23   0.000    -.9780979   -.6009124
       _cons |   .4116039   .0626924     6.57   0.000      .288294    .5349138
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.47
                                                Prob > F          =     0.4956
                                                R-squared         =     0.0013
                                                Root MSE          =     1.0534

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0772377   .1132277     0.68   0.496    -.1454703    .2999457
       _cons |   .0663987   .0830541     0.80   0.425    -.0969607    .2297581
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =      40.95
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1059
                                                Root MSE          =     .92916

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.6379223   .0996817    -6.40   0.000    -.8339867   -.4418579
       _cons |   .2487072   .0762864     3.26   0.001     .0986591    .3987553
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =      64.21
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1586
                                                Root MSE          =     .93742

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8119335   .1013245     8.01   0.000     .6126379    1.011229
       _cons |  -.2828303   .0641745    -4.41   0.000    -.4090554   -.1566052
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =      53.71
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1386
                                                Root MSE          =     .91689

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7337342   .1001204     7.33   0.000     .5368069    .9306615
       _cons |  -.3751751   .0393324    -9.54   0.000    -.4525381   -.2978121
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =      21.05
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0589
                                                Root MSE          =     .90629

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4522052   .0985624     4.59   0.000     .2583424     .646068
       _cons |  -.3285008   .0494734    -6.64   0.000    -.4258102   -.2311913
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
file hte_gender.dta saved

. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if woman == 0, r
  3.         regsave treatment using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Cont
> rols, 0, Facet, 1, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =      58.53
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1337
                                                Root MSE          =      .8656

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .6785335   .0886901     7.65   0.000     .5041414    .8529257
       _cons |  -.3696821   .0533116    -6.93   0.000    -.4745093    -.264855
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =     123.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2467
                                                Root MSE          =     .89229

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -1.018809   .0916528   -11.12   0.000    -1.199027   -.8385911
       _cons |   .4961122   .0600238     8.27   0.000     .3780869    .6141376
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       7.19
                                                Prob > F          =     0.0077
                                                R-squared         =     0.0187
                                                Root MSE          =     .93306

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2571312   .0958861     2.68   0.008     .0685893     .445673
       _cons |  -.2263393   .0637342    -3.55   0.000    -.3516604   -.1010182
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =      59.20
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1365
                                                Root MSE          =     .94413

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.7488877   .0973317    -7.69   0.000    -.9402719   -.5575034
       _cons |   .4397648   .0706757     6.22   0.000     .3007944    .5787351
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =      68.45
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1532
                                                Root MSE          =     .89412

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7587071   .0917045     8.27   0.000     .5783876    .9390267
       _cons |   -.491544   .0571682    -8.60   0.000    -.6039544   -.3791336
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =      81.77
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1752
                                                Root MSE          =     .92148

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8473216   .0937008     9.04   0.000     .6630767    1.031567
       _cons |  -.4171125   .0366133   -11.39   0.000    -.4891056   -.3451194
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =      12.48
                                                Prob > F          =     0.0005
                                                R-squared         =     0.0320
                                                Root MSE          =     1.0339

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3750446   .1061624     3.53   0.000     .1662963    .5837929
       _cons |  -.0930994   .0688425    -1.35   0.177    -.2284652    .0422663
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
file hte_gender.dta saved

. 
. 
. 
. 
. 
. * coworkers std
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment woman woman_treat, r
  3.         regsave  woman_treat using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, 
> Controls, 0, Facet, 2, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      11.20
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0456
                                                Root MSE          =     .97895

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1447576   .1117347     1.30   0.196    -.0746081    .3641233
       woman |   .4822745   .1042565     4.63   0.000     .2775904    .6869585
 woman_treat |  -.1330193   .1446652    -0.92   0.358    -.4170367     .150998
       _cons |  -.2716924   .0840563    -3.23   0.001    -.4367178    -.106667
------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      12.32
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0360
                                                Root MSE          =     .98388

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0763689    .123932     0.62   0.538    -.1669435    .3196813
       woman |   .4583292   .1011258     4.53   0.000     .2597917    .6568667
 woman_treat |  -.1798359   .1441448    -1.25   0.213    -.4628315    .1031597
       _cons |  -.2150976   .0961798    -2.24   0.026    -.4039249   -.0262703
------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      11.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0288
                                                Root MSE          =     .98756

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0374942    .121626     0.31   0.758    -.2012909    .2762793
       woman |   .4147218   .0988575     4.20   0.000     .2206376     .608806
 woman_treat |  -.1881584   .1451627    -1.30   0.195    -.4731525    .0968356
       _cons |  -.1728748   .0934288    -1.85   0.065    -.3563011    .0105514
------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      17.20
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0430
                                                Root MSE          =     .98028

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0333173   .1194923     0.28   0.780    -.2012788    .2679135
       woman |   .4970556   .0947542     5.25   0.000     .3110272    .6830839
 woman_treat |  -.2014803    .144213    -1.40   0.163      -.48461    .0816493
       _cons |  -.2070104   .0894341    -2.31   0.021     -.382594   -.0314268
------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      18.26
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0559
                                                Root MSE          =     .97369

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0553167   .1247434    -0.44   0.658     -.300222    .1895886
       woman |   .4824535   .0949828     5.08   0.000     .2959763    .6689306
 woman_treat |  -.0333583     .14183    -0.24   0.814    -.3118093    .2450927
       _cons |  -.1950687   .0900781    -2.17   0.031    -.3719166   -.0182207
------------------------------------------------------------------------------
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      11.79
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0417
                                                Root MSE          =     .98098

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0122252   .1167839    -0.10   0.917    -.2415039    .2170535
       woman |   .4314499   .0996237     4.33   0.000     .2358614    .6270384
 woman_treat |  -.0526114   .1443924    -0.36   0.716    -.3360931    .2308704
       _cons |  -.1877363   .0865867    -2.17   0.030    -.3577298   -.0177428
------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      23.74
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0826
                                                Root MSE          =     .95983

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0444651   .1212357    -0.37   0.714     -.282484    .1935538
       woman |   .5680647   .0996956     5.70   0.000     .3723349    .7637945
 woman_treat |   .0091092   .1400909     0.07   0.948    -.2659275    .2841459
       _cons |  -.2513433   .0905078    -2.78   0.006    -.4290348   -.0736518
------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      28.91
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1024
                                                Root MSE          =      .9494

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0302941   .1209073     0.25   0.802      -.20708    .2676682
       woman |   .6587069   .0996092     6.61   0.000     .4631469     .854267
 woman_treat |  -.0374273   .1382739    -0.27   0.787    -.3088969    .2340422
       _cons |  -.3211425   .0896727    -3.58   0.000    -.4971945   -.1450904
------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      13.36
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0484
                                                Root MSE          =     .97755

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1119649   .1169071     0.96   0.339    -.1175558    .3414856
       woman |   .5369546   .1015608     5.29   0.000     .3375629    .7363462
 woman_treat |  -.2228545   .1437854    -1.55   0.122    -.5051444    .0594355
       _cons |  -.2603965   .0877514    -2.97   0.003    -.4326765   -.0881165
------------------------------------------------------------------------------
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.16
                                                Prob > F          =     0.3227
                                                R-squared         =     0.0049
                                                Root MSE          =     .99964

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1691216   .1028191     1.64   0.100    -.0327403    .3709836
       woman |   .0569615   .1093286     0.52   0.603    -.1576805    .2716036
 woman_treat |   -.074691   .1490894    -0.50   0.617    -.3673943    .2180124
       _cons |  -.0942962   .0770532    -1.22   0.221    -.2455728    .0569804
------------------------------------------------------------------------------
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      22.26
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0687
                                                Root MSE          =     .96705

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0478805   .1191981     0.40   0.688    -.1861379     .281899
       woman |   .5877685   .0952073     6.17   0.000     .4008505    .7746865
 woman_treat |  -.1372874   .1418624    -0.97   0.333    -.4158022    .1412273
       _cons |   -.272664   .0883479    -3.09   0.002    -.4461152   -.0992128
------------------------------------------------------------------------------
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_gender.dta saved

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment if woman == 1, r
  3.         regsave  treatment using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, Co
> ntrols, 0, Facet, 2, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.02
                                                Prob > F          =     0.8984
                                                R-squared         =     0.0000
                                                Root MSE          =     .85194

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0117383   .0918998     0.13   0.898    -.1690198    .1924964
       _cons |    .210582   .0616843     3.41   0.001      .089255    .3319091
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       1.98
                                                Prob > F          =     0.1608
                                                R-squared         =     0.0059
                                                Root MSE          =     .67493

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.103467   .0736205    -1.41   0.161    -.2482715    .0413375
       _cons |   .2432316   .0312428     7.79   0.000       .18178    .3046832
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       3.61
                                                Prob > F          =     0.0581
                                                R-squared         =     0.0107
                                                Root MSE          =     .72614

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1506643   .0792524    -1.90   0.058    -.3065463    .0052177
       _cons |    .241847    .032313     7.48   0.000     .1782904    .3054036
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       4.34
                                                Prob > F          =     0.0380
                                                R-squared         =     0.0128
                                                Root MSE          =     .73938

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.168163   .0807506    -2.08   0.038    -.3269918   -.0093343
       _cons |   .2900451   .0313073     9.26   0.000     .2284667    .3516236
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       1.73
                                                Prob > F          =     0.1898
                                                R-squared         =     0.0051
                                                Root MSE          =      .6193

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.088675   .0674982    -1.31   0.190    -.2214375    .0440875
       _cons |   .2873848   .0301313     9.54   0.000     .2281193    .3466503
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.58
                                                Prob > F          =     0.4457
                                                R-squared         =     0.0017
                                                Root MSE          =     .78364

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0648366   .0849267    -0.76   0.446    -.2318794    .1022062
       _cons |   .2437136   .0492771     4.95   0.000     .1467902     .340637
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.25
                                                Prob > F          =     0.6149
                                                R-squared         =     0.0007
                                                Root MSE          =     .64827

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0353559   .0702041    -0.50   0.615    -.1734407    .1027288
       _cons |   .3167214   .0418092     7.58   0.000     .2344867    .3989561
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.01
                                                Prob > F          =     0.9154
                                                R-squared         =     0.0000
                                                Root MSE          =      .6212

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0071332    .067099    -0.11   0.915    -.1391105     .124844
       _cons |   .3375645   .0433737     7.78   0.000     .2522525    .4228765
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       1.75
                                                Prob > F          =     0.1862
                                                R-squared         =     0.0051
                                                Root MSE          =     .77365

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1108896   .0837183    -1.32   0.186    -.2755555    .0537764
       _cons |   .2765581   .0511367     5.41   0.000     .1759771    .3771391
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.76
                                                Prob > F          =     0.3824
                                                R-squared         =     0.0022
                                                Root MSE          =     1.0036

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0944307   .1079765     0.87   0.382    -.1179487      .30681
       _cons |  -.0373347     .07757    -0.48   0.631    -.1899074    .1152381
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       1.35
                                                Prob > F          =     0.2460
                                                R-squared         =     0.0040
                                                Root MSE          =     .70623

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0894069   .0769304    -1.16   0.246    -.2407217    .0619079
       _cons |   .3151045    .035488     8.88   0.000      .245303    .3849059
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_gender.dta saved

. 
. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment if woman == 0, r
  3.         regsave  treatment using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, Co
> ntrols, 0, Facet, 2, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       1.68
                                                Prob > F          =     0.1959
                                                R-squared         =     0.0045
                                                Root MSE          =     1.0821

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1447576   .1117215     1.30   0.196    -.0749214    .3644367
       _cons |  -.2716924   .0840463    -3.23   0.001    -.4369536   -.1064313
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.38
                                                Prob > F          =     0.5381
                                                R-squared         =     0.0010
                                                Root MSE          =     1.1986

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0763689   .1239173     0.62   0.538     -.167291    .3200288
       _cons |  -.2150976   .0961685    -2.24   0.026    -.4041946   -.0260006
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.10
                                                Prob > F          =     0.7580
                                                R-squared         =     0.0003
                                                Root MSE          =     1.1769

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0374942   .1216116     0.31   0.758     -.201632    .2766203
       _cons |  -.1728748   .0934177    -1.85   0.065    -.3565631    .0108134
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.08
                                                Prob > F          =     0.7805
                                                R-squared         =     0.0002
                                                Root MSE          =     1.1575

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0333173   .1194782     0.28   0.781    -.2016139    .2682486
       _cons |  -.2070104   .0894235    -2.31   0.021    -.3828448    -.031176
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.20
                                                Prob > F          =     0.6577
                                                R-squared         =     0.0005
                                                Root MSE          =     1.2101

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0553167   .1247286    -0.44   0.658    -.3005719    .1899384
       _cons |  -.1950687   .0900675    -2.17   0.031    -.3721692   -.0179681
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.01
                                                Prob > F          =     0.9167
                                                R-squared         =     0.0000
                                                Root MSE          =     1.1317

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0122252   .1167701    -0.10   0.917    -.2418314     .217381
       _cons |  -.1877363   .0865765    -2.17   0.031    -.3579726      -.0175
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.13
                                                Prob > F          =     0.7140
                                                R-squared         =     0.0004
                                                Root MSE          =     1.1745

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0444651   .1212214    -0.37   0.714     -.282824    .1938938
       _cons |  -.2513433   .0904971    -2.78   0.006    -.4292886    -.073398
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.06
                                                Prob > F          =     0.8023
                                                R-squared         =     0.0002
                                                Root MSE          =     1.1717

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0302941    .120893     0.25   0.802    -.2074191    .2680072
       _cons |  -.3211425   .0896621    -3.58   0.000     -.497446   -.1448389
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.92
                                                Prob > F          =     0.3388
                                                R-squared         =     0.0025
                                                Root MSE          =     1.1323

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1119649   .1168933     0.96   0.339    -.1178836    .3418134
       _cons |  -.2603965    .087741    -2.97   0.003    -.4329225   -.0878704
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       2.71
                                                Prob > F          =     0.1008
                                                R-squared         =     0.0072
                                                Root MSE          =     .99596

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1691216   .1028069     1.65   0.101    -.0330287    .3712719
       _cons |  -.0942962   .0770441    -1.22   0.222    -.2457889    .0571965
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.16
                                                Prob > F          =     0.6881
                                                R-squared         =     0.0004
                                                Root MSE          =     1.1551

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0478805    .119184     0.40   0.688    -.1864722    .2822332
       _cons |   -.272664   .0883375    -3.09   0.002     -.446363   -.0989651
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_gender.dta saved

. 
. 
. * refugees std
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment woman woman_treat, r
  3.         regsave  woman_treat using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, C
> ontrols, 0, Facet, 3, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       6.70
                                                Prob > F          =     0.0002
                                                R-squared         =     0.0279
                                                Root MSE          =     .98802

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1801255    .105405     1.71   0.088    -.0268134    .3870643
       woman |  -.2408716   .1012908    -2.38   0.018    -.4397332     -.04201
 woman_treat |  -.1240896    .146712    -0.85   0.398    -.4121255    .1639462
       _cons |   .0540811   .0730677     0.74   0.459    -.0893709     .197533
------------------------------------------------------------------------------
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      13.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0507
                                                Root MSE          =     .97633

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0432054   .1152702     0.37   0.708    -.1831016    .2695124
       woman |  -.4161825   .1057125    -3.94   0.000    -.6237249     -.20864
 woman_treat |  -.0658714   .1433943    -0.46   0.646    -.3473937    .2156508
       _cons |   .1926843   .0848106     2.27   0.023      .026178    .3591906
------------------------------------------------------------------------------
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      19.03
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0734
                                                Root MSE          =     .96463

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .118847   .1093208     1.09   0.277    -.0957796    .3334736
       woman |  -.5241556   .1027517    -5.10   0.000    -.7258853    -.322426
 woman_treat |  -.0056484   .1422429    -0.04   0.968      -.28491    .2736132
       _cons |   .1923608   .0780298     2.47   0.014      .039167    .3455545
------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      10.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0404
                                                Root MSE          =     .98161

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0797867   .1105248     0.72   0.471    -.1372038    .2967772
       woman |  -.3986807   .1032105    -3.86   0.000    -.6013112   -.1960503
 woman_treat |   .0153661   .1450576     0.11   0.916    -.2694217    .3001538
       _cons |   .1470152   .0801075     1.84   0.067    -.0102577    .3042881
------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      17.88
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0679
                                                Root MSE          =     .96747

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .127058   .1119246     1.14   0.257    -.0926807    .3467966
       woman |  -.4820342    .103462    -4.66   0.000    -.6851584     -.27891
 woman_treat |   -.053172   .1424511    -0.37   0.709    -.3328425    .2264985
       _cons |    .179252   .0815817     2.20   0.028     .0190848    .3394192
------------------------------------------------------------------------------
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_gender.dta saved

. 
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if woman == 1, r
  3.         regsave  treatment using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Con
> trols, 0, Facet, 3, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.30
                                                Prob > F          =     0.5833
                                                R-squared         =     0.0009
                                                Root MSE          =     .94701

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0560358   .1020632     0.55   0.583    -.1447127    .2567844
       _cons |  -.1867905   .0701584    -2.66   0.008    -.3247854   -.0487955
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.07
                                                Prob > F          =     0.7906
                                                R-squared         =     0.0002
                                                Root MSE          =      .7939

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.022666   .0853029    -0.27   0.791    -.1904486    .1451165
       _cons |  -.2234981   .0631136    -3.54   0.000    -.3476365   -.0993598
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       1.55
                                                Prob > F          =     0.2145
                                                R-squared         =     0.0045
                                                Root MSE          =     .84682

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1131987   .0910172     1.24   0.214    -.0658235    .2922208
       _cons |  -.3317949   .0668612    -4.96   0.000    -.4633044   -.2002853
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       1.03
                                                Prob > F          =     0.3119
                                                R-squared         =     0.0030
                                                Root MSE          =     .87207

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0951528   .0939588     1.01   0.312    -.0896551    .2799607
       _cons |  -.2516655   .0650868    -3.87   0.000    -.3796851   -.1236459
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.70
                                                Prob > F          =     0.4024
                                                R-squared         =     0.0020
                                                Root MSE          =     .81937

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .073886   .0881318     0.84   0.402    -.0994608    .2472327
       _cons |  -.3027822   .0636385    -4.76   0.000     -.427953   -.1776114
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_gender.dta saved

. 
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if woman == 0, r
  3.         regsave  treatment using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Con
> trols, 0, Facet, 3, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       2.92
                                                Prob > F          =     0.0883
                                                R-squared         =     0.0077
                                                Root MSE          =     1.0241

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1801255   .1053925     1.71   0.088     -.027109    .3873599
       _cons |   .0540811   .0730591     0.74   0.460    -.0895758    .1977379
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.14
                                                Prob > F          =     0.7080
                                                R-squared         =     0.0004
                                                Root MSE          =     1.1174

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0432054   .1152566     0.37   0.708    -.1834248    .2698356
       _cons |   .1926843   .0848005     2.27   0.024     .0259401    .3594285
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       1.18
                                                Prob > F          =     0.2776
                                                R-squared         =     0.0031
                                                Root MSE          =      1.061

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .118847   .1093079     1.09   0.278    -.0960861    .3337802
       _cons |   .1923608   .0780205     2.47   0.014     .0389482    .3457733
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.52
                                                Prob > F          =     0.4708
                                                R-squared         =     0.0014
                                                Root MSE          =     1.0721

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0797867   .1105118     0.72   0.471    -.1375137    .2970871
       _cons |   .1470152    .080098     1.84   0.067    -.0104823    .3045127
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       1.29
                                                Prob > F          =     0.2570
                                                R-squared         =     0.0034
                                                Root MSE          =     1.0854

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .127058   .1119114     1.14   0.257    -.0929946    .3471105
       _cons |    .179252   .0815721     2.20   0.029      .018856     .339648
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_gender.dta saved

. 
. 
. 
. * demo std
. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment woman woman_treat, r
  3.         regsave  woman_treat using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Cont
> rols, 0, Facet, 4, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       7.22
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0288
                                                Root MSE          =     .98757

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .065739   .1167395     0.56   0.574    -.1634525    .2949305
       woman |   .3743723   .1038616     3.60   0.000     .1704637     .578281
 woman_treat |  -.0760954   .1451129    -0.52   0.600    -.3609916    .2088009
       _cons |  -.1939475   .0849434    -2.28   0.023    -.3607147   -.0271803
------------------------------------------------------------------------------
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       7.28
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0298
                                                Root MSE          =     .98705

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0645772   .0987817     0.65   0.513    -.1293583    .2585127
       woman |   .3326298   .1019245     3.26   0.001     .1325242    .5327354
 woman_treat |   .0131997   .1475332     0.09   0.929    -.2764483    .3028476
       _cons |  -.1943219   .0694059    -2.80   0.005    -.3305846   -.0580591
------------------------------------------------------------------------------
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       7.61
                                                Prob > F          =     0.0001
                                                R-squared         =     0.0310
                                                Root MSE          =     .98642

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1346692   .1090635     1.23   0.217    -.0794523    .3487907
       woman |    .390935   .1048596     3.73   0.000     .1850668    .5968031
 woman_treat |  -.1029176   .1460073    -0.70   0.481    -.3895698    .1837346
       _cons |  -.2300485   .0791432    -2.91   0.004    -.3854283   -.0746688
------------------------------------------------------------------------------
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_gender.dta saved

. 
. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if woman == 1, r
  3.         regsave  treatment using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Contro
> ls, 0, Facet, 4, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.01
                                                Prob > F          =     0.9044
                                                R-squared         =     0.0000
                                                Root MSE          =     .80015

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0103564   .0862065    -0.12   0.904    -.1799163    .1592036
       _cons |   .1804248   .0597726     3.02   0.003     .0628579    .2979917
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.50
                                                Prob > F          =     0.4784
                                                R-squared         =     0.0015
                                                Root MSE          =     1.0165

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0777769   .1095961     0.71   0.478    -.1377882     .293342
       _cons |   .1383079   .0746516     1.85   0.065    -.0085246    .2851405
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        345
                                                F(1, 343)         =       0.11
                                                Prob > F          =     0.7438
                                                R-squared         =     0.0003
                                                Root MSE          =     .90191

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0317516   .0970861     0.33   0.744    -.1592075    .2227106
       _cons |   .1608864   .0687977     2.34   0.020      .025568    .2962048
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_gender.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if woman == 0, r
  3.         regsave  treatment using "hte_gender.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Contro
> ls, 0, Facet, 4, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.32
                                                Prob > F          =     0.5736
                                                R-squared         =     0.0008
                                                Root MSE          =     1.1322

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .065739   .1167257     0.56   0.574    -.1637798    .2952579
       _cons |  -.1939475   .0849334    -2.28   0.023    -.3609529   -.0269421
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       0.43
                                                Prob > F          =     0.5136
                                                R-squared         =     0.0011
                                                Root MSE          =     .95927

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0645772     .09877     0.65   0.514    -.1296353    .2587897
       _cons |  -.1943219   .0693977    -2.80   0.005    -.3307792   -.0578645
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_gender.dta saved

Linear regression                               Number of obs     =        377
                                                F(1, 375)         =       1.53
                                                Prob > F          =     0.2176
                                                R-squared         =     0.0041
                                                Root MSE          =     1.0578

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1346692   .1090506     1.23   0.218    -.0797581    .3490966
       _cons |  -.2300485   .0791339    -2.91   0.004    -.3856503   -.0744468
------------------------------------------------------------------------------
(note: variable var was str9, now str11 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_gender.dta saved

. 
. 
. 
. 
. use hte_gender.dta, clear

. drop variable

. 
. gen var2 = .
(78 missing values generated)

. replace var2 = 1 if Var== "stdjoy"
(3 real changes made)

. replace var2 = 2 if Var== "stdpride"
(3 real changes made)

. replace var2 = 3 if Var== "stdsadness"
(3 real changes made)

. replace var2 = 4 if Var== "stdhostility"
(3 real changes made)

. replace var2 = 5 if Var== "stdfear"
(3 real changes made)

. replace var2 = 6 if Var== "stddisgust"
(3 real changes made)

. replace var2 = 7 if Var== "stdanger"
(3 real changes made)

. replace var2 = 8 if Var== "stddisabled"
(3 real changes made)

. replace var2 = 9 if Var== "stdjewish"
(3 real changes made)

. replace var2 = 10 if Var== "stdasian"
(3 real changes made)

. replace var2 = 11 if Var== "stdblack"
(3 real changes made)

. replace var2 = 12 if Var== "stdlgb"
(3 real changes made)

. replace var2 = 13 if Var== "stdmuslim"
(3 real changes made)

. replace var2 = 14 if Var== "stdintersex"
(3 real changes made)

. replace var2 = 15 if Var== "stdtrans"
(3 real changes made)

. replace var2 = 16 if Var== "stdroma"
(3 real changes made)

. replace var2 = 17 if Var== "stdwitness"
(3 real changes made)

. replace var2 = 18 if Var== "stdc1"
(3 real changes made)

. replace var2 = 19 if Var== "stdrefrights"
(3 real changes made)

. replace var2 = 20 if Var== "stdrefterror_inv"
(3 real changes made)

. replace var2 = 21 if Var== "stdrefcrime_inv"
(3 real changes made)

. replace var2 = 22 if Var== "stdrefmoney_inv"
(3 real changes made)

. replace var2 = 23 if Var== "stdr1"
(3 real changes made)

. replace var2 = 24 if Var== "stdprodemo"
(3 real changes made)

. replace var2 = 25 if Var== "stddonationyn"
(3 real changes made)

. replace var2 = 26 if Var== "stdquantity"
(3 real changes made)

. tab var2

       var2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          3        3.85        3.85
          2 |          3        3.85        7.69
          3 |          3        3.85       11.54
          4 |          3        3.85       15.38
          5 |          3        3.85       19.23
          6 |          3        3.85       23.08
          7 |          3        3.85       26.92
          8 |          3        3.85       30.77
          9 |          3        3.85       34.62
         10 |          3        3.85       38.46
         11 |          3        3.85       42.31
         12 |          3        3.85       46.15
         13 |          3        3.85       50.00
         14 |          3        3.85       53.85
         15 |          3        3.85       57.69
         16 |          3        3.85       61.54
         17 |          3        3.85       65.38
         18 |          3        3.85       69.23
         19 |          3        3.85       73.08
         20 |          3        3.85       76.92
         21 |          3        3.85       80.77
         22 |          3        3.85       84.62
         23 |          3        3.85       88.46
         24 |          3        3.85       92.31
         25 |          3        3.85       96.15
         26 |          3        3.85      100.00
------------+-----------------------------------
      Total |         78      100.00

. 
. 
. save hte_gender.dta, replace
file hte_gender.dta saved

. 
. 
. 
. * ················  Figure E.8 Education ····································· * 
. use stones.dta, clear

. gen college = 0

. replace college = 1 if education == 4 | education == 6 | education == 7
(380 real changes made)

. gen college_treat = treatment * college

. *reference category is not college education.
. save stones.dta, replace
file stones.dta saved

. 
. clear

. gen variable = .

. save hte_college.dta, replace
(note: dataset contains 0 observations)
(note: file hte_college.dta not found)
file hte_college.dta saved

. use stones.dta, clear

. 
. 
. *emotions std
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment college college_treat, r
  3.         regsave college_treat using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1,
>  Controls, 0, Facet, 1, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      52.52
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1709
                                                Root MSE          =     .91243

-------------------------------------------------------------------------------
              |               Robust
     stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .8069962    .105342     7.66   0.000      .600181    1.013811
      college |  -.1921244   .0747429    -2.57   0.010    -.3388652   -.0453835
college_treat |   .0024158   .1369557     0.02   0.986    -.2664657    .2712974
        _cons |  -.3030291   .0592754    -5.11   0.000    -.4194029   -.1866554
-------------------------------------------------------------------------------
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      65.67
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2109
                                                Root MSE          =     .89016

-------------------------------------------------------------------------------
              |               Robust
       stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.8120718   .0980012    -8.29   0.000    -1.004475   -.6196687
      college |   .1707766    .086687     1.97   0.049     .0005864    .3409669
college_treat |  -.1889403   .1328198    -1.42   0.155    -.4497018    .0718212
        _cons |   .3669213   .0652786     5.62   0.000     .2387615    .4950811
-------------------------------------------------------------------------------
(note: variable Var was str6, now str8 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       4.87
                                                Prob > F          =     0.0023
                                                R-squared         =     0.0176
                                                Root MSE          =     .99325

-------------------------------------------------------------------------------
              |               Robust
      stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |    .026783    .112424     0.24   0.812     -.193936     .247502
      college |  -.2900295   .1046735    -2.77   0.006    -.4955323   -.0845267
college_treat |   .2733235   .1485601     1.84   0.066    -.0183406    .5649877
        _cons |   .0658141   .0812805     0.81   0.418    -.0937618      .22539
-------------------------------------------------------------------------------
(note: variable Var was str7, now str8 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      33.24
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1220
                                                Root MSE          =     .93896

-------------------------------------------------------------------------------
              |               Robust
     stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   -.619807   .1023723    -6.05   0.000    -.8207918   -.4188222
      college |   .1137885   .1040951     1.09   0.275    -.0905787    .3181558
college_treat |  -.1413293   .1402531    -1.01   0.314    -.4166845    .1340259
        _cons |   .2879897   .0736163     3.91   0.000     .1434608    .4325186
-------------------------------------------------------------------------------
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      51.53
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1613
                                                Root MSE          =     .91772

-------------------------------------------------------------------------------
              |               Robust
   stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .6805432   .1053941     6.46   0.000     .4736257    .8874607
      college |  -.2620499   .0860195    -3.05   0.002    -.4309298   -.0931701
college_treat |    .195092   .1374878     1.42   0.156    -.0748341    .4650181
        _cons |  -.2547714    .068889    -3.70   0.000    -.3900194   -.1195234
-------------------------------------------------------------------------------
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      51.25
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1589
                                                Root MSE          =     .91901

-------------------------------------------------------------------------------
              |               Robust
   stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |    .757299   .1076408     7.04   0.000     .5459707    .9686273
      college |  -.1004293   .0543326    -1.85   0.065     -.207099    .0062404
college_treat |   .0711947   .1381678     0.52   0.607    -.2000666     .342456
        _cons |  -.3449218    .047829    -7.21   0.000    -.4388233   -.2510203
-------------------------------------------------------------------------------
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      16.12
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0493
                                                Root MSE          =     .97707

-------------------------------------------------------------------------------
              |               Robust
 stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .2793278   .1134073     2.46   0.014     .0566783    .5019772
      college |  -.2145983   .0867228    -2.47   0.014     -.384859   -.0443377
college_treat |   .2626727   .1463862     1.79   0.073    -.0247234    .5500688
        _cons |  -.0972971   .0732431    -1.33   0.184    -.2410934    .0464993
-------------------------------------------------------------------------------
file hte_college.dta saved

. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if college == 1, r
  3.         regsave treatment using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Con
> trols, 0, Facet, 1, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =      85.55
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1816
                                                Root MSE          =     .86132

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .809412   .0875088     9.25   0.000     .6373469    .9814772
       _cons |  -.4951535   .0455232   -10.88   0.000     -.584664   -.4056431
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =     124.71
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2464
                                                Root MSE          =     .87735

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -1.001012    .089636   -11.17   0.000     -1.17726   -.8247644
       _cons |    .537698   .0570301     9.43   0.000      .425562    .6498339
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       9.55
                                                Prob > F          =     0.0021
                                                R-squared         =     0.0245
                                                Root MSE          =     .94816

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3001065   .0970996     3.09   0.002     .1091835    .4910296
       _cons |  -.2242154   .0659455    -3.40   0.001    -.3538815   -.0945494
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =      63.05
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1438
                                                Root MSE          =     .93097

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.7611363   .0958556    -7.94   0.000    -.9496132   -.5726594
       _cons |   .4017782   .0735862     5.46   0.000     .2570887    .5464678
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =      98.39
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2042
                                                Root MSE          =     .86637

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8756352   .0882768     9.92   0.000       .70206     1.04921
       _cons |  -.5168214   .0515065   -10.03   0.000    -.6180965   -.4155462
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =      91.50
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1895
                                                Root MSE          =     .85888

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8284937   .0866125     9.57   0.000      .658191    .9987963
       _cons |  -.4453511   .0257726   -17.28   0.000    -.4960268   -.3946755
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =      34.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0816
                                                Root MSE          =     .91164

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .5420005    .092549     5.86   0.000     .3600251    .7239758
       _cons |  -.3118954   .0464294    -6.72   0.000    -.4031877   -.2206031
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
file hte_college.dta saved

. 
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if college == 0, r
  3.         regsave treatment using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, Con
> trols, 0, Facet, 1, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =      58.67
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1492
                                                Root MSE          =     .96608

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8069962   .1053584     7.66   0.000     .5997599    1.014232
       _cons |  -.3030291   .0592845    -5.11   0.000    -.4196398   -.1864185
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =      68.64
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1686
                                                Root MSE          =     .90418

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.8120718   .0980164    -8.29   0.000    -1.004867    -.619277
       _cons |   .3669213   .0652887     5.62   0.000     .2385006     .495342
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.06
                                                Prob > F          =     0.8119
                                                R-squared         =     0.0002
                                                Root MSE          =     1.0411

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .026783   .1124414     0.24   0.812    -.1943853    .2479513
       _cons |   .0658141   .0812931     0.81   0.419    -.0940867    .2257149
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =      36.64
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0971
                                                Root MSE          =     .94776

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.619807   .1023881    -6.05   0.000    -.8212009   -.4184131
       _cons |   .2879897   .0736277     3.91   0.000     .1431666    .4328128
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =      41.68
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1098
                                                Root MSE          =     .97163

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .6805432   .1054105     6.46   0.000     .4732044    .8878819
       _cons |  -.2547714   .0688997    -3.70   0.000    -.3902947   -.1192481
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =      49.48
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1301
                                                Root MSE          =     .98155

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .757299   .1076575     7.03   0.000     .5455405    .9690575
       _cons |  -.3449218   .0478364    -7.21   0.000    -.4390144   -.2508292
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       6.06
                                                Prob > F          =     0.0143
                                                R-squared         =     0.0176
                                                Root MSE          =      1.045

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2793278   .1134248     2.46   0.014     .0562251    .5024305
       _cons |  -.0972971   .0732545    -1.33   0.185    -.2413861     .046792
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
file hte_college.dta saved

. 
. 
. 
. 
. 
. * coworkers std
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment college college_treat, r
  3.         regsave  college_treat using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 
> 1, Controls, 0, Facet, 2, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.74
                                                Prob > F          =     0.5288
                                                R-squared         =     0.0034
                                                Root MSE          =     1.0004

-------------------------------------------------------------------------------
              |               Robust
  stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .0223817   .1056323     0.21   0.832    -.1850034    .2297668
      college |  -.1268462   .1075271    -1.18   0.239    -.3379512    .0842589
college_treat |   .0996716   .1490655     0.67   0.504    -.1929848    .3923279
        _cons |   .0287887    .072232     0.40   0.690    -.1130225    .1705999
-------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.99
                                                Prob > F          =     0.3964
                                                R-squared         =     0.0039
                                                Root MSE          =     1.0001

-------------------------------------------------------------------------------
              |               Robust
    stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.0099319   .0902601    -0.11   0.912    -.1871372    .1672733
      college |  -.1199795   .1046189    -1.15   0.252     -.325375     .085416
college_treat |  -.0076605   .1471006    -0.05   0.958    -.2964591    .2811381
        _cons |   .0701714   .0595489     1.18   0.239    -.0467393    .1870821
-------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.30
                                                Prob > F          =     0.2748
                                                R-squared         =     0.0050
                                                Root MSE          =     .99957

-------------------------------------------------------------------------------
              |               Robust
     stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.0291152   .0973165    -0.30   0.765    -.2201742    .1619438
      college |  -.1011827   .1021017    -0.99   0.322    -.3016362    .0992707
college_treat |  -.0507546   .1479397    -0.34   0.732    -.3412007    .2396914
        _cons |   .0814493   .0612575     1.33   0.184    -.0388159    .2017145
-------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.80
                                                Prob > F          =     0.1450
                                                R-squared         =     0.0068
                                                Root MSE          =     .99869

-------------------------------------------------------------------------------
              |               Robust
     stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.0599271   .0960689    -0.62   0.533    -.2485365    .1286824
      college |  -.1414061   .0989183    -1.43   0.153    -.3356097    .0527975
college_treat |  -.0141088   .1475809    -0.10   0.924    -.3038503    .2756328
        _cons |   .1081788   .0589943     1.83   0.067    -.0076432    .2240008
-------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.88
                                                Prob > F          =     0.4510
                                                R-squared         =     0.0029
                                                Root MSE          =     1.0006

-------------------------------------------------------------------------------
              |               Robust
       stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.1160354   .1075656    -1.08   0.281    -.3272161    .0951453
      college |  -.0972865   .0993977    -0.98   0.328    -.2924314    .0978583
college_treat |    .070531   .1496489     0.47   0.638    -.2232708    .3643328
        _cons |   .0902696    .062944     1.43   0.152    -.0333067    .2138459
-------------------------------------------------------------------------------
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.39
                                                Prob > F          =     0.7633
                                                R-squared         =     0.0015
                                                Root MSE          =     1.0013

-------------------------------------------------------------------------------
              |               Robust
    stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.0312438   .1121398    -0.28   0.781    -.2514049    .1889174
      college |    -.05139   .1035238    -0.50   0.620    -.2546356    .1518556
college_treat |    -.02389   .1499776    -0.16   0.873     -.318337    .2705571
        _cons |   .0490884   .0749997     0.65   0.513    -.0981566    .1963334
-------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.33
                                                Prob > F          =     0.2632
                                                R-squared         =     0.0052
                                                Root MSE          =     .99948

-------------------------------------------------------------------------------
              |               Robust
  stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.0608101   .1035737    -0.59   0.557    -.2641537    .1425335
      college |  -.1463242   .1049462    -1.39   0.164    -.3523623    .0597138
college_treat |   .0238873    .148624     0.16   0.872    -.2679022    .3156768
        _cons |   .1009993    .069556     1.45   0.147     -.035558    .2375567
-------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.90
                                                Prob > F          =     0.4424
                                                R-squared         =     0.0037
                                                Root MSE          =     1.0002

-------------------------------------------------------------------------------
              |               Robust
     stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.0691858   .1060475    -0.65   0.514     -.277386    .1390145
      college |   -.169476    .106148    -1.60   0.111    -.3778736    .0389215
college_treat |   .1357313   .1491896     0.91   0.363    -.1571688    .4286314
        _cons |   .0873201   .0702353     1.24   0.214     -.050571    .2252111
-------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.01
                                                Prob > F          =     0.1118
                                                R-squared         =     0.0082
                                                Root MSE          =     .99796

-------------------------------------------------------------------------------
              |               Robust
      stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.0527531   .0978657    -0.54   0.590    -.2448902    .1393839
      college |  -.2250347   .1054206    -2.13   0.033    -.4320042   -.0180652
college_treat |   .1022804   .1475557     0.69   0.488    -.1874117    .3919726
        _cons |   .1173333   .0680735     1.72   0.085    -.0163136    .2509803
-------------------------------------------------------------------------------
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.30
                                                Prob > F          =     0.2727
                                                R-squared         =     0.0056
                                                Root MSE          =     .99929

-------------------------------------------------------------------------------
              |               Robust
   stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .1435451   .1115593     1.29   0.199    -.0754763    .3625666
      college |   .0783308   .1096572     0.71   0.475    -.1369563    .2936178
college_treat |  -.0227579   .1493912    -0.15   0.879    -.3160536    .2705378
        _cons |  -.1068843   .0820446    -1.30   0.193    -.2679603    .0541917
-------------------------------------------------------------------------------
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.14
                                                Prob > F          =     0.3322
                                                R-squared         =     0.0043
                                                Root MSE          =     .99993

-------------------------------------------------------------------------------
              |               Robust
        stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.0459032    .101278    -0.45   0.651    -.2447395    .1529332
      college |  -.1466846    .100827    -1.45   0.146    -.3446357    .0512664
college_treat |   .0397599   .1484353     0.27   0.789    -.2516591    .3311789
        _cons |   .0894706   .0638411     1.40   0.162    -.0358669    .2148081
-------------------------------------------------------------------------------
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_college.dta saved

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment if college == 1, r
  3.         regsave  treatment using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, C
> ontrols, 0, Facet, 2, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       1.35
                                                Prob > F          =     0.2465
                                                R-squared         =     0.0036
                                                Root MSE          =     1.0221

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1220533    .105163     1.16   0.247    -.0847246    .3288311
       _cons |  -.0980575   .0796419    -1.23   0.219    -.2546542    .0585393
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.02
                                                Prob > F          =     0.8797
                                                R-squared         =     0.0001
                                                Root MSE          =     1.1299

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0175924   .1161375    -0.15   0.880     -.245949    .2107641
       _cons |  -.0498081   .0860057    -0.58   0.563    -.2189176    .1193015
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.51
                                                Prob > F          =     0.4739
                                                R-squared         =     0.0014
                                                Root MSE          =     1.0844

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0798698     .11141    -0.72   0.474    -.2989308    .1391911
       _cons |  -.0197334   .0816726    -0.24   0.809    -.1803229    .1408561
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.44
                                                Prob > F          =     0.5091
                                                R-squared         =     0.0012
                                                Root MSE          =     1.0919

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0740358   .1120151    -0.66   0.509    -.2942866     .146215
       _cons |  -.0332273   .0793898    -0.42   0.676    -.1893282    .1228736
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.19
                                                Prob > F          =     0.6620
                                                R-squared         =     0.0005
                                                Root MSE          =     1.0121

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0455044   .1040261    -0.44   0.662    -.2500468     .159038
       _cons |  -.0070169   .0769175    -0.09   0.927    -.1582567    .1442228
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.31
                                                Prob > F          =     0.5801
                                                R-squared         =     0.0008
                                                Root MSE          =      .9702

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0551337    .099575    -0.55   0.580     -.250924    .1406565
       _cons |  -.0023016   .0713499    -0.03   0.974     -.142594    .1379908
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.12
                                                Prob > F          =     0.7292
                                                R-squared         =     0.0003
                                                Root MSE          =     1.0371

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0369228   .1065758    -0.35   0.729    -.2464785    .1726329
       _cons |  -.0453249   .0785745    -0.58   0.564    -.1998227    .1091729
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.40
                                                Prob > F          =     0.5263
                                                R-squared         =     0.0011
                                                Root MSE          =     1.0196

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0665455    .104921     0.63   0.526    -.1397563    .2728474
       _cons |   -.082156   .0795779    -1.03   0.303    -.2386268    .0743148
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.20
                                                Prob > F          =     0.6540
                                                R-squared         =     0.0005
                                                Root MSE          =      1.075

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0495273   .1104156     0.45   0.654    -.1675784     .266633
       _cons |  -.1077014   .0804842    -1.34   0.182    -.2659541    .0505514
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       1.48
                                                Prob > F          =     0.2248
                                                R-squared         =     0.0039
                                                Root MSE          =     .96704

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1207872   .0993453     1.22   0.225    -.0745514    .3161259
       _cons |  -.0285535   .0727455    -0.39   0.695      -.17159     .114483
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.00
                                                Prob > F          =     0.9549
                                                R-squared         =     0.0000
                                                Root MSE          =      1.057

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0061432   .1085012    -0.06   0.955    -.2194848    .2071984
       _cons |   -.057214   .0780302    -0.73   0.464    -.2106417    .0962137
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_college.dta saved

. 
. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment if college == 0, r
  3.         regsave  treatment using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, C
> ontrols, 0, Facet, 2, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.04
                                                Prob > F          =     0.8324
                                                R-squared         =     0.0001
                                                Root MSE          =     .97568

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0223817   .1056487     0.21   0.832    -.1854256     .230189
       _cons |   .0287887   .0722432     0.40   0.691    -.1133112    .1708886
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.01
                                                Prob > F          =     0.9125
                                                R-squared         =     0.0000
                                                Root MSE          =     .83243

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0099319   .0902741    -0.11   0.912     -.187498    .1676341
       _cons |   .0701714   .0595581     1.18   0.240    -.0469773    .1873201
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.09
                                                Prob > F          =     0.7650
                                                R-squared         =     0.0003
                                                Root MSE          =     .89586

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0291152   .0973316    -0.30   0.765    -.2205631    .1623328
       _cons |   .0814493    .061267     1.33   0.185    -.0390607    .2019594
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.39
                                                Prob > F          =     0.5332
                                                R-squared         =     0.0012
                                                Root MSE          =     .88357

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0599271   .0960837    -0.62   0.533    -.2489205    .1290664
       _cons |   .1081788   .0590035     1.83   0.068     -.007879    .2242366
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       1.16
                                                Prob > F          =     0.2815
                                                R-squared         =     0.0035
                                                Root MSE          =     .98769

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1160354   .1075822    -1.08   0.282     -.327646    .0955752
       _cons |   .0902696   .0629538     1.43   0.153    -.0335583    .2140975
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.08
                                                Prob > F          =     0.7807
                                                R-squared         =     0.0002
                                                Root MSE          =     1.0348

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0312438   .1121572    -0.28   0.781    -.2518531    .1893656
       _cons |   .0490884   .0750113     0.65   0.513    -.0984563    .1966332
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.34
                                                Prob > F          =     0.5576
                                                R-squared         =     0.0010
                                                Root MSE          =     .95592

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0608101   .1035898    -0.59   0.558    -.2645677    .1429474
       _cons |   .1009993   .0695667     1.45   0.147     -.035836    .2378347
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.43
                                                Prob > F          =     0.5146
                                                R-squared         =     0.0013
                                                Root MSE          =     .97818

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0691858   .1060639    -0.65   0.515    -.2778099    .1394384
       _cons |   .0873201   .0702461     1.24   0.215    -.0508517    .2254918
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.29
                                                Prob > F          =     0.5903
                                                R-squared         =     0.0009
                                                Root MSE          =     .90463

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0527531   .0978808    -0.54   0.590    -.2452813     .139775
       _cons |   .1173333   .0680841     1.72   0.086    -.0165857    .2512523
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       1.66
                                                Prob > F          =     0.1991
                                                R-squared         =     0.0048
                                                Root MSE          =      1.034

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1435451   .1115766     1.29   0.199    -.0759222    .3630125
       _cons |  -.1068843   .0820573    -1.30   0.194    -.2682882    .0545196
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.21
                                                Prob > F          =     0.6507
                                                R-squared         =     0.0006
                                                Root MSE          =     .93237

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0459032   .1012937    -0.45   0.651    -.2451443     .153338
       _cons |   .0894706   .0638509     1.40   0.162     -.036122    .2150632
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_college.dta saved

. 
. 
. * refugees std
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment college college_treat, r
  3.         regsave  college_treat using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1
> , Controls, 0, Facet, 3, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.44
                                                Prob > F          =     0.0630
                                                R-squared         =     0.0102
                                                Root MSE          =     .99698

-------------------------------------------------------------------------------
              |               Robust
 stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .1502502   .1025054     1.47   0.143    -.0509958    .3514963
      college |   .1803836   .1016848     1.77   0.076    -.0192514    .3800186
college_treat |  -.0512534   .1477902    -0.35   0.729    -.3414059    .2388991
        _cons |  -.1562922   .0714086    -2.19   0.029    -.2964868   -.0160976
-------------------------------------------------------------------------------
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.20
                                                Prob > F          =     0.3097
                                                R-squared         =     0.0052
                                                Root MSE          =     .99949

-------------------------------------------------------------------------------
              |               Robust
stdrefterro~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |    .130522   .1053531     1.24   0.216    -.0763149    .3373589
      college |   .2008308   .1080855     1.86   0.064    -.0113705    .4130322
college_treat |  -.2131285   .1486932    -1.43   0.152     -.505054     .078797
        _cons |  -.1136942   .0754139    -1.51   0.132    -.2617523    .0343639
-------------------------------------------------------------------------------
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.22
                                                Prob > F          =     0.0840
                                                R-squared         =     0.0095
                                                Root MSE          =     .99731

-------------------------------------------------------------------------------
              |               Robust
stdrefcrime~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .1177305   .1042356     1.13   0.259    -.0869125    .3223734
      college |   .1435443   .1065284     1.35   0.178    -.0656001    .3526887
college_treat |   .0101508   .1480964     0.07   0.945     -.280603    .3009045
        _cons |  -.1371424   .0756613    -1.81   0.070    -.2856862    .0114015
-------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.15
                                                Prob > F          =     0.3285
                                                R-squared         =     0.0045
                                                Root MSE          =     .99981

-------------------------------------------------------------------------------
              |               Robust
stdrefmoney~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .1925478   .1055606     1.82   0.069    -.0146965     .399792
      college |   .1152526   .1055419     1.09   0.275     -.091955    .3224602
college_treat |    -.18681   .1487861    -1.26   0.210    -.4789177    .1052978
        _cons |  -.1067377   .0733037    -1.46   0.146    -.2506529    .0371775
-------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.04
                                                Prob > F          =     0.1071
                                                R-squared         =     0.0082
                                                Root MSE          =     .99795

-------------------------------------------------------------------------------
              |               Robust
        stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .1790239   .1020663     1.75   0.080    -.0213601    .3794078
      college |   .1935324   .1064697     1.82   0.070    -.0154967    .4025615
college_treat |  -.1336071   .1479722    -0.90   0.367    -.4241171    .1569029
        _cons |  -.1554711   .0732249    -2.12   0.034    -.2992316   -.0117106
-------------------------------------------------------------------------------
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_college.dta saved

. 
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if college == 1, r
  3.         regsave  treatment using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Co
> ntrols, 0, Facet, 3, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.86
                                                Prob > F          =     0.3530
                                                R-squared         =     0.0023
                                                Root MSE          =     1.0394

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0989968   .1064492     0.93   0.353    -.1103099    .3083035
       _cons |   .0240914   .0723819     0.33   0.739    -.1182303    .1664131
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.62
                                                Prob > F          =     0.4316
                                                R-squared         =     0.0016
                                                Root MSE          =     1.0209

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0826065   .1049159    -0.79   0.432    -.2888984    .1236854
       _cons |   .0871366    .077418     1.13   0.261    -.0650872    .2393604
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       1.48
                                                Prob > F          =     0.2248
                                                R-squared         =     0.0039
                                                Root MSE          =     1.0251

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1278812   .1051875     1.22   0.225    -.0789447    .3347072
       _cons |   .0064019   .0749807     0.09   0.932    -.1410296    .1538334
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.00
                                                Prob > F          =     0.9564
                                                R-squared         =     0.0000
                                                Root MSE          =      1.021

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0057378   .1048389     0.05   0.956    -.2004027    .2118784
       _cons |   .0085149   .0759214     0.11   0.911    -.1407662    .1577961
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.18
                                                Prob > F          =     0.6718
                                                R-squared         =     0.0005
                                                Root MSE          =     1.0434

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0454167   .1071217     0.42   0.672    -.1652124    .2560459
       _cons |   .0380613   .0772803     0.49   0.623    -.1138918    .1900144
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_college.dta saved

. 
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if college == 0, r
  3.         regsave  treatment using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, Co
> ntrols, 0, Facet, 3, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       2.15
                                                Prob > F          =     0.1437
                                                R-squared         =     0.0063
                                                Root MSE          =     .94758

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1502502   .1025212     1.47   0.144    -.0514055     .351906
       _cons |  -.1562922   .0714196    -2.19   0.029    -.2967722   -.0158122
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       1.53
                                                Prob > F          =     0.2163
                                                R-squared         =     0.0045
                                                Root MSE          =     .97514

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .130522   .1053694     1.24   0.216     -.076736      .33778
       _cons |  -.1136942   .0754256    -1.51   0.133    -.2620538    .0346653
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       1.28
                                                Prob > F          =     0.2596
                                                R-squared         =     0.0037
                                                Root MSE          =     .96545

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1177305   .1042517     1.13   0.260    -.0873291      .32279
       _cons |  -.1371424    .075673    -1.81   0.071    -.2859886    .0117039
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       3.33
                                                Prob > F          =     0.0691
                                                R-squared         =     0.0097
                                                Root MSE          =     .97568

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1925478   .1055769     1.82   0.069    -.0151184    .4002139
       _cons |  -.1067377    .073315    -1.46   0.146    -.2509459    .0374705
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       3.08
                                                Prob > F          =     0.0804
                                                R-squared         =     0.0089
                                                Root MSE          =     .94482

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1790239    .102082     1.75   0.080     -.021768    .3798158
       _cons |  -.1554711   .0732362    -2.12   0.034    -.2995243   -.0114179
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_college.dta saved

. 
. 
. 
. * demo std
. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment college college_treat, r
  3.         regsave  college_treat using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, C
> ontrols, 0, Facet, 4, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.98
                                                Prob > F          =     0.4008
                                                R-squared         =     0.0039
                                                Root MSE          =     1.0001

-------------------------------------------------------------------------------
              |               Robust
   stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |  -.0862044   .1120586    -0.77   0.442     -.306206    .1337972
      college |   -.034052   .1065433    -0.32   0.749    -.2432257    .1751217
college_treat |   .2043467   .1499587     1.36   0.173    -.0900632    .4987566
        _cons |   .0061167   .0753096     0.08   0.935    -.1417366    .1539701
-------------------------------------------------------------------------------
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.28
                                                Prob > F          =     0.8371
                                                R-squared         =     0.0012
                                                Root MSE          =     1.0015

-------------------------------------------------------------------------------
              |               Robust
  stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .0363707   .1063984     0.34   0.733    -.1725184    .2452599
      college |  -.0262102   .1032348    -0.25   0.800    -.2288884    .1764681
college_treat |   .0530647   .1490325     0.36   0.722    -.2395268    .3456563
        _cons |  -.0186489   .0732106    -0.25   0.799    -.1623813    .1250835
-------------------------------------------------------------------------------
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.60
                                                Prob > F          =     0.6171
                                                R-squared         =     0.0024
                                                Root MSE          =     1.0009

-------------------------------------------------------------------------------
              |               Robust
stddonationyn |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
    treatment |   .1119419    .106836     1.05   0.295    -.0978064    .3216903
      college |  -.0189166   .1072782    -0.18   0.860    -.2295331    .1916999
college_treat |  -.0606894   .1489967    -0.41   0.684    -.3532107    .2318319
        _cons |  -.0297077   .0767231    -0.39   0.699    -.1803362    .1209208
-------------------------------------------------------------------------------
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_college.dta saved

. 
. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if college == 1, r
  3.         regsave  treatment using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Contr
> ols, 0, Facet, 4, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       1.41
                                                Prob > F          =     0.2365
                                                R-squared         =     0.0037
                                                Root MSE          =     .96842

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1181423    .099638     1.19   0.236    -.0777718    .3140564
       _cons |  -.0279353   .0753549    -0.37   0.711    -.1761026    .1202321
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.73
                                                Prob > F          =     0.3919
                                                R-squared         =     0.0019
                                                Root MSE          =     1.0178

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0894355   .1043409     0.86   0.392    -.1157259    .2945968
       _cons |  -.0448591   .0727748    -0.62   0.538    -.1879532     .098235
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        380
                                                F(1, 378)         =       0.24
                                                Prob > F          =     0.6219
                                                R-squared         =     0.0006
                                                Root MSE          =     1.0114

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0512525   .1038416     0.49   0.622     -.152927    .2554321
       _cons |  -.0486243   .0749708    -0.65   0.517    -.1960363    .0987877
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_college.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if college == 0, r
  3.         regsave  treatment using "hte_college.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Contr
> ols, 0, Facet, 4, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.59
                                                Prob > F          =     0.4423
                                                R-squared         =     0.0017
                                                Root MSE          =     1.0343

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0862044   .1120759    -0.77   0.442    -.3066538    .1342451
       _cons |   .0061167   .0753213     0.08   0.935    -.1420376    .1542711
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       0.12
                                                Prob > F          =     0.7327
                                                R-squared         =     0.0003
                                                Root MSE          =     .98302

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0363707   .1064149     0.34   0.733    -.1729437    .2456851
       _cons |  -.0186489   .0732219    -0.25   0.799    -.1626739    .1253761
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_college.dta saved

Linear regression                               Number of obs     =        342
                                                F(1, 340)         =       1.10
                                                Prob > F          =     0.2956
                                                R-squared         =     0.0032
                                                Root MSE          =     .98902

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1119419   .1068526     1.05   0.296    -.0982334    .3221173
       _cons |  -.0297077    .076735    -0.39   0.699    -.1806429    .1212274
------------------------------------------------------------------------------
(note: variable var was str9, now str13 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_college.dta saved

. 
. 
. 
. 
. use hte_college.dta, clear

. drop variable

. 
. gen var2 = .
(78 missing values generated)

. replace var2 = 1 if Var== "stdjoy"
(3 real changes made)

. replace var2 = 2 if Var== "stdpride"
(3 real changes made)

. replace var2 = 3 if Var== "stdsadness"
(3 real changes made)

. replace var2 = 4 if Var== "stdhostility"
(3 real changes made)

. replace var2 = 5 if Var== "stdfear"
(3 real changes made)

. replace var2 = 6 if Var== "stddisgust"
(3 real changes made)

. replace var2 = 7 if Var== "stdanger"
(3 real changes made)

. replace var2 = 8 if Var== "stddisabled"
(3 real changes made)

. replace var2 = 9 if Var== "stdjewish"
(3 real changes made)

. replace var2 = 10 if Var== "stdasian"
(3 real changes made)

. replace var2 = 11 if Var== "stdblack"
(3 real changes made)

. replace var2 = 12 if Var== "stdlgb"
(3 real changes made)

. replace var2 = 13 if Var== "stdmuslim"
(3 real changes made)

. replace var2 = 14 if Var== "stdintersex"
(3 real changes made)

. replace var2 = 15 if Var== "stdtrans"
(3 real changes made)

. replace var2 = 16 if Var== "stdroma"
(3 real changes made)

. replace var2 = 17 if Var== "stdwitness"
(3 real changes made)

. replace var2 = 18 if Var== "stdc1"
(3 real changes made)

. replace var2 = 19 if Var== "stdrefrights"
(3 real changes made)

. replace var2 = 20 if Var== "stdrefterror_inv"
(3 real changes made)

. replace var2 = 21 if Var== "stdrefcrime_inv"
(3 real changes made)

. replace var2 = 22 if Var== "stdrefmoney_inv"
(3 real changes made)

. replace var2 = 23 if Var== "stdr1"
(3 real changes made)

. replace var2 = 24 if Var== "stdprodemo"
(3 real changes made)

. replace var2 = 25 if Var== "stddonationyn"
(3 real changes made)

. replace var2 = 26 if Var== "stdquantity"
(3 real changes made)

. tab var2

       var2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          3        3.85        3.85
          2 |          3        3.85        7.69
          3 |          3        3.85       11.54
          4 |          3        3.85       15.38
          5 |          3        3.85       19.23
          6 |          3        3.85       23.08
          7 |          3        3.85       26.92
          8 |          3        3.85       30.77
          9 |          3        3.85       34.62
         10 |          3        3.85       38.46
         11 |          3        3.85       42.31
         12 |          3        3.85       46.15
         13 |          3        3.85       50.00
         14 |          3        3.85       53.85
         15 |          3        3.85       57.69
         16 |          3        3.85       61.54
         17 |          3        3.85       65.38
         18 |          3        3.85       69.23
         19 |          3        3.85       73.08
         20 |          3        3.85       76.92
         21 |          3        3.85       80.77
         22 |          3        3.85       84.62
         23 |          3        3.85       88.46
         24 |          3        3.85       92.31
         25 |          3        3.85       96.15
         26 |          3        3.85      100.00
------------+-----------------------------------
      Total |         78      100.00

. 
. 
. save hte_college.dta, replace
file hte_college.dta saved

. 
. 
. 
. 
. 
. * ················  Figure E.9 Religion ····································· * 
. 
. 
. clear

. gen variable = .

. save hte_religious.dta, replace
(note: dataset contains 0 observations)
(note: file hte_religious.dta not found)
file hte_religious.dta saved

. use stones.dta, clear

. 
. 
. 
. 
. 
. *emotions std
. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment##religious , r
  3.         regsave 1.treatment#1.religious using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 9
> 5, Model, 1, Controls, 0, Facet, 1, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      46.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1620
                                                Root MSE          =     .91731

-------------------------------------------------------------------------------------
                    |               Robust
           stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .8067014   .0771864    10.45   0.000     .6551633    .9582395
        1.religious |  -.0277766   .0960216    -0.29   0.772    -.2162933      .16074
                    |
treatment#religious |
               1 1  |  -.0127961   .1650787    -0.08   0.938    -.3368908    .3112985
                    |
              _cons |  -.3964785   .0414857    -9.56   0.000    -.4779264   -.3150306
-------------------------------------------------------------------------------------
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      62.60
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2075
                                                Root MSE          =     .89209

-------------------------------------------------------------------------------------
                    |               Robust
             stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   -.903155   .0739016   -12.22   0.000    -1.048244   -.7580659
        1.religious |   .0531497   .1147694     0.46   0.643    -.1721741    .2784735
                    |
treatment#religious |
               1 1  |  -.0337031   .1683151    -0.20   0.841    -.3641517    .2967456
                    |
              _cons |    .444311   .0475676     9.34   0.000     .3509227    .5376993
-------------------------------------------------------------------------------------
(note: variable Var was str6, now str8 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.20
                                                Prob > F          =     0.0873
                                                R-squared         =     0.0090
                                                Root MSE          =     .99755

-------------------------------------------------------------------------------------
                    |               Robust
            stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .2123524   .0827782     2.57   0.011     .0498361    .3748687
        1.religious |   .1130544   .1358504     0.83   0.406     -.153657    .3797659
                    |
treatment#religious |
               1 1  |   -.224645   .1872641    -1.20   0.231    -.5922956    .1430056
                    |
              _cons |  -.1061676   .0580557    -1.83   0.068    -.2201468    .0078115
-------------------------------------------------------------------------------------
(note: variable Var was str7, now str8 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      33.35
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1226
                                                Root MSE          =     .93867

-------------------------------------------------------------------------------------
                    |               Robust
           stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.6977628     .07743    -9.01   0.000    -.8497792   -.5457465
        1.religious |   .1076879   .1356302     0.79   0.427    -.1585913    .3739672
                    |
treatment#religious |
               1 1  |    .020915   .1791853     0.12   0.907    -.3308748    .3727048
                    |
              _cons |   .3251397   .0574436     5.66   0.000     .2123621    .4379172
-------------------------------------------------------------------------------------
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      43.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1530
                                                Root MSE          =     .92224

-------------------------------------------------------------------------------------
                    |               Robust
         stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .8055977   .0783394    10.28   0.000      .651796    .9593994
        1.religious |   .0304982   .0955615     0.32   0.750    -.1571152    .2181117
                    |
treatment#religious |
               1 1  |  -.1290921    .160499    -0.80   0.421    -.4441956    .1860114
                    |
              _cons |  -.3958716   .0500169    -7.91   0.000    -.4940684   -.2976747
-------------------------------------------------------------------------------------
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      48.92
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1685
                                                Root MSE          =     .91379

-------------------------------------------------------------------------------------
                    |               Robust
         stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .8918699   .0767217    11.62   0.000     .7412441    1.042496
        1.religious |   .1567086   .0783667     2.00   0.046     .0028532    .3105639
                    |
treatment#religious |
               1 1  |   -.489431   .1657174    -2.95   0.003    -.8147796   -.1640823
                    |
              _cons |  -.4279215   .0278359   -15.37   0.000     -.482571   -.3732719
-------------------------------------------------------------------------------------
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =      11.72
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0439
                                                Root MSE          =     .97984

-------------------------------------------------------------------------------------
                    |               Robust
       stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .4117693   .0832405     4.95   0.000     .2483454    .5751932
        1.religious |  -.0724096   .0906105    -0.80   0.424    -.2503029    .1054836
                    |
treatment#religious |
               1 1  |   .0205855   .1704021     0.12   0.904    -.3139605    .3551315
                    |
              _cons |  -.1934239    .050553    -3.83   0.000    -.2926732   -.0941746
-------------------------------------------------------------------------------------
file hte_religious.dta saved

. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if religious==1, r
  3.         regsave treatment using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, C
> ontrols, 0, Facet, 1, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =      29.35
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1697
                                                Root MSE          =     .88405

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .7939053   .1465313     5.42   0.000      .504258    1.083553
       _cons |  -.4242551   .0869588    -4.88   0.000    -.5961459   -.2523643
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =      38.06
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2101
                                                Root MSE          =      .9146

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.936858   .1518549    -6.17   0.000    -1.237028   -.6366876
       _cons |   .4974607   .1048839     4.74   0.000     .2901375     .704784
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.01
                                                Prob > F          =     0.9420
                                                R-squared         =     0.0000
                                                Root MSE          =     1.0151

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0122926   .1686764    -0.07   0.942    -.3457139    .3211287
       _cons |   .0068868   .1233333     0.06   0.956    -.2369052    .2506787
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =      17.40
                                                Prob > F          =     0.0001
                                                R-squared         =     0.1087
                                                Root MSE          =     .97594

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.6768479   .1622667    -4.17   0.000    -.9975992   -.3560965
       _cons |   .4328276    .123378     3.51   0.001     .1889474    .6767079
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =      23.13
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1387
                                                Root MSE          =     .84884

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .6765056   .1406666     4.81   0.000     .3984511    .9545601
       _cons |  -.3653734   .0817668    -4.47   0.000    -.5270011   -.2037456
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       7.44
                                                Prob > F          =     0.0072
                                                R-squared         =     0.0492
                                                Root MSE          =     .89117

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4024389   .1475012     2.73   0.007     .1108745    .6940033
       _cons |  -.2712129   .0735623    -3.69   0.000     -.416623   -.1258028
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       8.39
                                                Prob > F          =     0.0044
                                                R-squared         =     0.0550
                                                Root MSE          =       .902

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4323548   .1493081     2.90   0.004     .1372187    .7274909
       _cons |  -.2658335   .0755115    -3.52   0.001    -.4150965   -.1165705
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
file hte_religious.dta saved

. local emotions stdanger stdjoy stdfear stdpride stdsadness stddisgust stdhostility   

. foreach emotion in `emotions'{
  2.         regr `emotion' treatment if religious==0 , r
  3.         regsave treatment using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `emotion', Level, 95, Model, 1, C
> ontrols, 0, Facet, 1, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =     109.46
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1601
                                                Root MSE          =      .9254

------------------------------------------------------------------------------
             |               Robust
    stdanger |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8067014   .0771061    10.46   0.000     .6552575    .9581453
       _cons |  -.3964785   .0414426    -9.57   0.000    -.4778758   -.3150813
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =     149.67
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2066
                                                Root MSE          =      .8864

------------------------------------------------------------------------------
             |               Robust
      stdjoy |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.903155   .0738247   -12.23   0.000    -1.048154   -.7581561
       _cons |    .444311   .0475181     9.35   0.000     .3509808    .5376412
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       6.59
                                                Prob > F          =     0.0105
                                                R-squared         =     0.0113
                                                Root MSE          =     .99314

------------------------------------------------------------------------------
             |               Robust
     stdfear |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .2123524    .082692     2.57   0.010     .0499371    .3747677
       _cons |  -.1061676   .0579952    -1.83   0.068     -.220076    .0077407
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =      81.38
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1239
                                                Root MSE          =     .92916

------------------------------------------------------------------------------
             |               Robust
    stdpride |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.6977628   .0773494    -9.02   0.000    -.8496847    -.545841
       _cons |   .3251397   .0573838     5.67   0.000     .2124322    .4378471
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =     105.97
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1557
                                                Root MSE          =     .93961

------------------------------------------------------------------------------
             |               Robust
  stdsadness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8055977   .0782579    10.29   0.000     .6518916    .9593038
       _cons |  -.3958716   .0499648    -7.92   0.000    -.4940074   -.2977357
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =     135.42
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1910
                                                Root MSE          =     .91933

------------------------------------------------------------------------------
             |               Robust
  stddisgust |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .8918699   .0766419    11.64   0.000     .7413377    1.042402
       _cons |  -.4279215    .027807   -15.39   0.000    -.4825371   -.3733059
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =      24.52
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0409
                                                Root MSE          =     .99826

------------------------------------------------------------------------------
             |               Robust
stdhostility |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .4117693   .0831539     4.95   0.000     .2484469    .5750917
       _cons |  -.1934239   .0505003    -3.83   0.000    -.2926115   -.0942363
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
file hte_religious.dta saved

. 
. 
. 
. 
. * coworkers std
. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment##religious  , r
  3.         regsave 1.treatment#1.religious  using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level,
>  95, Model, 1, Controls, 0, Facet, 2, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.22
                                                Prob > F          =     0.3010
                                                R-squared         =     0.0051
                                                Root MSE          =     .99953

-------------------------------------------------------------------------------------
                    |               Robust
        stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |    .122511   .0821189     1.49   0.136    -.0387109    .2837329
        1.religious |   .0308398   .1344346     0.23   0.819    -.2330921    .2947716
                    |
treatment#religious |
               1 1  |  -.2446026   .1927043    -1.27   0.205    -.6229338    .1337286
                    |
              _cons |  -.0427178   .0605279    -0.71   0.481    -.1615507    .0761151
-------------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.12
                                                Prob > F          =     0.0968
                                                R-squared         =     0.0092
                                                Root MSE          =     .99749

-------------------------------------------------------------------------------------
                    |               Robust
          stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0115763   .0825028    -0.14   0.888    -.1735518    .1503993
        1.religious |  -.2262356    .126386    -1.79   0.074    -.4743658    .0218947
                    |
treatment#religious |
               1 1  |  -.0222758   .1887302    -0.12   0.906    -.3928049    .3482533
                    |
              _cons |   .0534755    .059797     0.89   0.371    -.0639223    .1708733
-------------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.43
                                                Prob > F          =     0.0640
                                                R-squared         =     0.0130
                                                Root MSE          =     .99553

-------------------------------------------------------------------------------------
                    |               Robust
           stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0421844   .0795452    -0.53   0.596    -.1983534    .1139847
        1.religious |  -.2332703   .1242701    -1.88   0.061    -.4772465    .0107059
                    |
treatment#religious |
               1 1  |  -.0781454   .2051438    -0.38   0.703    -.4808988     .324608
                    |
              _cons |   .0758412    .057994     1.31   0.191    -.0380168    .1896993
-------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.82
                                                Prob > F          =     0.1421
                                                R-squared         =     0.0115
                                                Root MSE          =     .99632

-------------------------------------------------------------------------------------
                    |               Robust
           stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0323207   .0791478    -0.41   0.683    -.1877094     .123068
        1.religious |   -.140015   .1247114    -1.12   0.262    -.3848577    .1048276
                    |
treatment#religious |
               1 1  |  -.1875921   .2079666    -0.90   0.367    -.5958873    .2207032
                    |
              _cons |   .0632468   .0558951     1.13   0.258    -.0464906    .1729842
-------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       4.11
                                                Prob > F          =     0.0066
                                                R-squared         =     0.0222
                                                Root MSE          =     .99088

-------------------------------------------------------------------------------------
                    |               Robust
             stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0805955   .0771538    -1.04   0.297    -.2320696    .0708786
        1.religious |  -.3614488   .1414943    -2.55   0.011    -.6392408   -.0836567
                    |
treatment#religious |
               1 1  |   .0064707   .2156354     0.03   0.976    -.4168806    .4298221
                    |
              _cons |   .1122336    .052458     2.14   0.033     .0092442     .215223
-------------------------------------------------------------------------------------
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.36
                                                Prob > F          =     0.2529
                                                R-squared         =     0.0064
                                                Root MSE          =     .99888

-------------------------------------------------------------------------------------
                    |               Robust
          stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0338923   .0816826    -0.41   0.678    -.1942575     .126473
        1.religious |  -.1623742   .1333623    -1.22   0.224    -.4242009    .0994524
                    |
treatment#religious |
               1 1  |  -.0537985   .1950597    -0.28   0.783    -.4367539    .3291569
                    |
              _cons |   .0549954   .0570481     0.96   0.335    -.0570056    .1669963
-------------------------------------------------------------------------------------
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       4.07
                                                Prob > F          =     0.0070
                                                R-squared         =     0.0228
                                                Root MSE          =     .99059

-------------------------------------------------------------------------------------
                    |               Robust
        stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0501289   .0770747    -0.65   0.516    -.2014477    .1011899
        1.religious |  -.3711168   .1485203    -2.50   0.013    -.6627027   -.0795309
                    |
treatment#religious |
               1 1  |  -.0002911   .2158913    -0.00   0.999    -.4241447    .4235625
                    |
              _cons |   .0996257   .0555148     1.79   0.073    -.0093651    .2086165
-------------------------------------------------------------------------------------
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       3.77
                                                Prob > F          =     0.0105
                                                R-squared         =     0.0203
                                                Root MSE          =     .99187

-------------------------------------------------------------------------------------
                    |               Robust
           stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |     .00174   .0780927     0.02   0.982    -.1515774    .1550574
        1.religious |  -.3534255   .1484995    -2.38   0.018    -.6449707   -.0618804
                    |
treatment#religious |
               1 1  |  -.0037632   .2112672    -0.02   0.986    -.4185384    .4110121
                    |
              _cons |   .0704893   .0566346     1.24   0.214    -.0406999    .1816785
-------------------------------------------------------------------------------------
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.16
                                                Prob > F          =     0.3247
                                                R-squared         =     0.0058
                                                Root MSE          =     .99916

-------------------------------------------------------------------------------------
                    |               Robust
            stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0379909   .0822208     0.46   0.644    -.1234311    .1994129
        1.religious |  -.0611417   .1230307    -0.50   0.619    -.3026847    .1804013
                    |
treatment#religious |
               1 1  |  -.2007581   .1915788    -1.05   0.295    -.5768797    .1753635
                    |
              _cons |   .0135819   .0610519     0.22   0.824    -.1062796    .1334435
-------------------------------------------------------------------------------------
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.94
                                                Prob > F          =     0.1224
                                                R-squared         =     0.0076
                                                Root MSE          =     .99827

-------------------------------------------------------------------------------------
                    |               Robust
         stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .1230707   .0840582     1.46   0.144    -.0419585       .2881
        1.religious |   .1142266   .1320469     0.87   0.387    -.1450176    .3734708
                    |
treatment#religious |
               1 1  |   .0477895   .1790674     0.27   0.790    -.3037687    .3993478
                    |
              _cons |  -.0893075   .0617482    -1.45   0.149    -.2105361    .0319211
-------------------------------------------------------------------------------------
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.64
                                                Prob > F          =     0.0483
                                                R-squared         =     0.0141
                                                Root MSE          =       .995

-------------------------------------------------------------------------------------
                    |               Robust
              stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0085015   .0793085    -0.11   0.915    -.1642059    .1472028
        1.religious |  -.2442034   .1338811    -1.82   0.069    -.5070487    .0186418
                    |
treatment#religious |
               1 1  |  -.0920251   .2063862    -0.45   0.656    -.4972177    .3131674
                    |
              _cons |   .0625989   .0554769     1.13   0.260    -.0463175    .1715153
-------------------------------------------------------------------------------------
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_religious.dta saved

. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment if religious==1, r
  3.         regsave treatment using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, 
> Controls, 0, Facet, 2, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.49
                                                Prob > F          =     0.4867
                                                R-squared         =     0.0034
                                                Root MSE          =     1.0544

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1220916   .1750593    -0.70   0.487      -.46813    .2239467
       _cons |   -.011878   .1205388    -0.10   0.922    -.2501462    .2263901
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.04
                                                Prob > F          =     0.8429
                                                R-squared         =     0.0003
                                                Root MSE          =     1.0273

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   -.033852   .1704509    -0.20   0.843     -.370781    .3030769
       _cons |  -.1727601     .11181    -1.55   0.125    -.3937741     .048254
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.40
                                                Prob > F          =     0.5273
                                                R-squared         =     0.0028
                                                Root MSE          =     1.1458

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1203298   .1898836    -0.63   0.527    -.4956711    .2550116
       _cons |  -.1574291   .1103669    -1.43   0.156    -.3755904    .0607323
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       1.30
                                                Prob > F          =     0.2567
                                                R-squared         =     0.0089
                                                Root MSE          =     1.1654

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.2199128   .1931197    -1.14   0.257    -.6016511    .1618255
       _cons |  -.0767682   .1119495    -0.69   0.494    -.2980578    .1445214
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.13
                                                Prob > F          =     0.7145
                                                R-squared         =     0.0009
                                                Root MSE          =     1.2187

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0741247    .202201    -0.37   0.714    -.4738138    .3255643
       _cons |  -.2492151   .1319595    -1.89   0.061    -.5100585    .0116282
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.24
                                                Prob > F          =     0.6228
                                                R-squared         =     0.0017
                                                Root MSE          =     1.0715

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0876908    .177873    -0.49   0.623    -.4392909    .2639093
       _cons |  -.1073789    .121048    -0.89   0.377    -.3466535    .1318958
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.06
                                                Prob > F          =     0.8037
                                                R-squared         =     0.0004
                                                Root MSE          =     1.2198

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    -.05042   .2025064    -0.25   0.804    -.4507129    .3498728
       _cons |  -.2714911   .1383299    -1.96   0.052    -.5449268    .0019446
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.00
                                                Prob > F          =     0.9918
                                                R-squared         =     0.0000
                                                Root MSE          =     1.1871

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0020232   .1971239    -0.01   0.992    -.3916764      .38763
       _cons |  -.2829363   .1378489    -2.05   0.042    -.5554212   -.0104513
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.88
                                                Prob > F          =     0.3505
                                                R-squared         =     0.0061
                                                Root MSE          =     1.0479

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1627672   .1737606    -0.94   0.350    -.5062384    .1807041
       _cons |  -.0475598     .10726    -0.44   0.658    -.2595798    .1644602
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       1.16
                                                Prob > F          =     0.2837
                                                R-squared         =     0.0080
                                                Root MSE          =     .95536

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1708603    .158772     1.08   0.284    -.1429831    .4847037
       _cons |   .0249191   .1172073     0.21   0.832    -.2067637    .2566019
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.28
                                                Prob > F          =     0.6001
                                                R-squared         =     0.0019
                                                Root MSE          =     1.1535

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.1005267   .1913354    -0.53   0.600    -.4787379    .2776846
       _cons |  -.1816046   .1223548    -1.48   0.140    -.4234624    .0602533
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_religious.dta saved

. local coworkers stddisabled stdjewish stdasian stdblack stdlgb stdmuslim stdintersex stdtrans stdroma stdwitness  stdc1

. foreach coworker in `coworkers'{
  2.         regr `coworker' treatment if religious==0, r
  3.         regsave treatment using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `coworker', Level, 95, Model, 1, 
> Controls, 0, Facet, 2, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       2.23
                                                Prob > F          =     0.1359
                                                R-squared         =     0.0039
                                                Root MSE          =      .9854

------------------------------------------------------------------------------
             |               Robust
 stddisabled |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .122511   .0820334     1.49   0.136    -.0386107    .2836327
       _cons |  -.0427178   .0604649    -0.71   0.480    -.1614769    .0760413
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.02
                                                Prob > F          =     0.8883
                                                R-squared         =     0.0000
                                                Root MSE          =     .98995

------------------------------------------------------------------------------
             |               Robust
   stdjewish |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0115763   .0824169    -0.14   0.888    -.1734512    .1502986
       _cons |   .0534755   .0597347     0.90   0.371    -.0638494    .1708004
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.28
                                                Prob > F          =     0.5957
                                                R-squared         =     0.0005
                                                Root MSE          =     .95448

------------------------------------------------------------------------------
             |               Robust
    stdasian |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0421844   .0794624    -0.53   0.596    -.1982564    .1138877
       _cons |   .0758412   .0579336     1.31   0.191    -.0379461    .1896285
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.17
                                                Prob > F          =     0.6828
                                                R-squared         =     0.0003
                                                Root MSE          =      .9496

------------------------------------------------------------------------------
             |               Robust
    stdblack |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0323207   .0790654    -0.41   0.683    -.1876129    .1229714
       _cons |   .0632468   .0558369     1.13   0.258    -.0464224     .172916
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       1.09
                                                Prob > F          =     0.2961
                                                R-squared         =     0.0019
                                                Root MSE          =     .92556

------------------------------------------------------------------------------
             |               Robust
      stdlgb |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0805955   .0770735    -1.05   0.296    -.2319754    .0707844
       _cons |   .1122336   .0524034     2.14   0.033     .0093082     .215159
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str6, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.17
                                                Prob > F          =     0.6780
                                                R-squared         =     0.0003
                                                Root MSE          =     .97998

------------------------------------------------------------------------------
             |               Robust
   stdmuslim |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0338923   .0815975    -0.42   0.678    -.1941578    .1263733
       _cons |   .0549954   .0569887     0.97   0.335     -.056936    .1669267
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str9, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.42
                                                Prob > F          =     0.5153
                                                R-squared         =     0.0007
                                                Root MSE          =      .9248

------------------------------------------------------------------------------
             |               Robust
 stdintersex |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0501289   .0769945    -0.65   0.515    -.2013537    .1010959
       _cons |   .0996257    .055457     1.80   0.073    -.0092974    .2085487
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str11, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.00
                                                Prob > F          =     0.9822
                                                R-squared         =     0.0000
                                                Root MSE          =     .93704

------------------------------------------------------------------------------
             |               Robust
    stdtrans |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |     .00174   .0780114     0.02   0.982    -.1514821    .1549621
       _cons |   .0704893   .0565756     1.25   0.213    -.0406308    .1816094
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str8, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.21
                                                Prob > F          =     0.6439
                                                R-squared         =     0.0004
                                                Root MSE          =     .98666

------------------------------------------------------------------------------
             |               Robust
     stdroma |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0379909   .0821352     0.46   0.644    -.1233308    .1993126
       _cons |   .0135819   .0609883     0.22   0.824    -.1062051     .133369
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str7, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       2.15
                                                Prob > F          =     0.1433
                                                R-squared         =     0.0037
                                                Root MSE          =     1.0087

------------------------------------------------------------------------------
             |               Robust
  stdwitness |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1230707   .0839707     1.47   0.143    -.0418559    .2879974
       _cons |  -.0893075   .0616839    -1.45   0.148    -.2104607    .0318457
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str12 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.01
                                                Prob > F          =     0.9146
                                                R-squared         =     0.0000
                                                Root MSE          =      .9515

------------------------------------------------------------------------------
             |               Robust
       stdc1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0085015    .079226    -0.11   0.915    -.1641091    .1471061
       _cons |   .0625989   .0554192     1.13   0.259    -.0462499    .1714476
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str5, now str12 to accommodate using data's values)
file hte_religious.dta saved

. 
. 
. 
. * refugees std
. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment##religious  , r
  3.         regsave 1.treatment#1.religious using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 9
> 5, Model, 1, Controls, 0, Facet, 3, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       3.47
                                                Prob > F          =     0.0158
                                                R-squared         =     0.0139
                                                Root MSE          =     .99509

-------------------------------------------------------------------------------------
                    |               Robust
       stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0808644   .0847593     0.95   0.340    -.0855412    .2472701
        1.religious |   .1079801   .1125157     0.96   0.338    -.1129189    .3288791
                    |
treatment#religious |
               1 1  |   .2252082   .1714456     1.31   0.189    -.1113863    .5618028
                    |
              _cons |  -.0848884   .0591536    -1.44   0.152     -.201023    .0312463
-------------------------------------------------------------------------------------
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.68
                                                Prob > F          =     0.0461
                                                R-squared         =     0.0106
                                                Root MSE          =     .99675

-------------------------------------------------------------------------------------
                    |               Robust
   stdrefterror_inv |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0032688   .0838667     0.04   0.969    -.1613845    .1679221
        1.religious |   .2114198   .1225854     1.72   0.085    -.0292488    .4520885
                    |
treatment#religious |
               1 1  |   .0820095   .1790089     0.46   0.647    -.2694339    .4334529
                    |
              _cons |  -.0523859   .0623716    -0.84   0.401    -.1748384    .0700666
-------------------------------------------------------------------------------------
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       2.18
                                                Prob > F          =     0.0892
                                                R-squared         =     0.0093
                                                Root MSE          =     .99739

-------------------------------------------------------------------------------------
                    |               Robust
    stdrefcrime_inv |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .1495116   .0826336     1.81   0.071    -.0127208    .3117439
        1.religious |   .2317561   .1306145     1.77   0.076    -.0246759     .488188
                    |
treatment#religious |
               1 1  |  -.1176319   .1879032    -0.63   0.531    -.4865373    .2512735
                    |
              _cons |  -.1094061   .0598056    -1.83   0.068    -.2268208    .0080087
-------------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       1.28
                                                Prob > F          =     0.2815
                                                R-squared         =     0.0052
                                                Root MSE          =      .9995

-------------------------------------------------------------------------------------
                    |               Robust
    stdrefmoney_inv |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0985661   .0841898     1.17   0.242    -.0667216    .2638538
        1.religious |    .144734   .1264498     1.14   0.253    -.1035215    .3929895
                    |
treatment#religious |
               1 1  |  -.0210474   .1790681    -0.12   0.906     -.372607    .3305122
                    |
              _cons |  -.0762221    .059906    -1.27   0.204     -.193834    .0413898
-------------------------------------------------------------------------------------
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       3.07
                                                Prob > F          =     0.0271
                                                R-squared         =     0.0122
                                                Root MSE          =     .99598

-------------------------------------------------------------------------------------
                    |               Robust
              stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .1013623   .0845514     1.20   0.231    -.0646351    .2673598
        1.religious |   .2122249   .1194371     1.78   0.076    -.0222628    .4467125
                    |
treatment#religious |
               1 1  |   .0472885   .1736354     0.27   0.785    -.2936053    .3881822
                    |
              _cons |  -.0980838   .0616478    -1.59   0.112    -.2191152    .0229476
-------------------------------------------------------------------------------------
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_religious.dta saved

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if religious==1 , r
  3.         regsave treatment using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, C
> ontrols, 0, Facet, 3, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       4.18
                                                Prob > F          =     0.0427
                                                R-squared         =     0.0284
                                                Root MSE          =     .90212

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .3060727   .1496506     2.05   0.043     .0102594    .6018859
       _cons |   .0230918   .0961108     0.24   0.810    -.1668897    .2130732
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.29
                                                Prob > F          =     0.5921
                                                R-squared         =     0.0020
                                                Root MSE          =     .95689

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0852783   .1588076     0.54   0.592    -.2286354    .3991921
       _cons |   .1590339   .1059725     1.50   0.136     -.050441    .3685089
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.04
                                                Prob > F          =     0.8510
                                                R-squared         =     0.0002
                                                Root MSE          =     1.0207

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0318797   .1694628     0.19   0.851    -.3030961    .3668554
       _cons |     .12235    .116603     1.05   0.296    -.1081383    .3528383
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.24
                                                Prob > F          =     0.6260
                                                R-squared         =     0.0017
                                                Root MSE          =     .95558

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0775187   .1587025     0.49   0.626    -.2361872    .3912246
       _cons |   .0685119   .1118239     0.61   0.541    -.1525295    .2895534
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.95
                                                Prob > F          =     0.3307
                                                R-squared         =     0.0066
                                                Root MSE          =     .91751

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1486508   .1522918     0.98   0.331    -.1523832    .4496848
       _cons |   .1141411   .1027246     1.11   0.268    -.0889139     .317196
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_religious.dta saved

. local refugees stdrefrights stdrefterror_inv stdrefcrime_inv stdrefmoney_inv stdr1

. foreach refugee in `refugees'{
  2.         regr `refugee' treatment if religious==0, r
  3.         regsave treatment using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `refugee', Level, 95, Model, 1, C
> ontrols, 0, Facet, 3, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.91
                                                Prob > F          =     0.3400
                                                R-squared         =     0.0016
                                                Root MSE          =     1.0169

------------------------------------------------------------------------------
             |               Robust
stdrefrights |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0808644    .084671     0.96   0.340    -.0854378    .2471667
       _cons |  -.0848884    .059092    -1.44   0.151    -.2009508    .0311741
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str12, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.00
                                                Prob > F          =     0.9689
                                                R-squared         =     0.0000
                                                Root MSE          =     1.0064

------------------------------------------------------------------------------
             |               Robust
stdrefterr~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0032688   .0837794     0.04   0.969    -.1612821    .1678197
       _cons |  -.0523859   .0623067    -0.84   0.401    -.1747623    .0699905
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       3.28
                                                Prob > F          =     0.0706
                                                R-squared         =     0.0057
                                                Root MSE          =     .99151

------------------------------------------------------------------------------
             |               Robust
stdrefcrim~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1495116   .0825476     1.81   0.071      -.01262    .3116431
       _cons |  -.1094061   .0597433    -1.83   0.068    -.2267478    .0079357
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       1.37
                                                Prob > F          =     0.2417
                                                R-squared         =     0.0024
                                                Root MSE          =     1.0101

------------------------------------------------------------------------------
             |               Robust
stdrefmone~v |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0985661   .0841022     1.17   0.242    -.0666189     .263751
       _cons |  -.0762221   .0598437    -1.27   0.203    -.1937609    .0413167
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str15, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       1.44
                                                Prob > F          =     0.2306
                                                R-squared         =     0.0025
                                                Root MSE          =     1.0146

------------------------------------------------------------------------------
             |               Robust
       stdr1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1013623   .0844633     1.20   0.231    -.0645319    .2672566
       _cons |  -.0980838   .0615836    -1.59   0.112    -.2190399    .0228724
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str5, now str16 to accommodate using data's values)
file hte_religious.dta saved

. 
. 
. 
. * demo std
. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment##religious   , r
  3.         regsave 1.treatment#1.religious using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, 
> Model, 1, Controls, 0, Facet, 4, Group, 0, Facet2, 2)
  4. }

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.59
                                                Prob > F          =     0.6191
                                                R-squared         =     0.0019
                                                Root MSE          =     1.0011

-------------------------------------------------------------------------------------
                    |               Robust
         stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |  -.0110699   .0844359    -0.13   0.896    -.1768406    .1547008
        1.religious |  -.0206197   .1348917    -0.15   0.879    -.2854489    .2442095
                    |
treatment#religious |
               1 1  |   .1680535   .1788025     0.94   0.348    -.1829848    .5190917
                    |
              _cons |  -.0073155   .0593513    -0.12   0.902    -.1238383    .1092072
-------------------------------------------------------------------------------------
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.31
                                                Prob > F          =     0.8186
                                                R-squared         =     0.0013
                                                Root MSE          =     1.0015

-------------------------------------------------------------------------------------
                    |               Robust
        stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0641794   .0843136     0.76   0.447    -.1013514    .2297101
        1.religious |  -.0376099    .123353    -0.30   0.761    -.2797856    .2045659
                    |
treatment#religious |
               1 1  |   .0011446   .1797023     0.01   0.995    -.3516601    .3539494
                    |
              _cons |  -.0246522   .0585472    -0.42   0.674    -.1395963     .090292
-------------------------------------------------------------------------------------
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        722
                                                F(3, 718)         =       0.54
                                                Prob > F          =     0.6519
                                                R-squared         =     0.0023
                                                Root MSE          =     1.0009

-------------------------------------------------------------------------------------
                    |               Robust
      stddonationyn |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
        1.treatment |   .0964612   .0837223     1.15   0.250    -.0679086     .260831
        1.religious |   .0964612   .1307642     0.74   0.461    -.1602647    .3531871
                    |
treatment#religious |
               1 1  |  -.0881232   .1833538    -0.48   0.631    -.4480968    .2718504
                    |
              _cons |   -.058693   .0603833    -0.97   0.331    -.1772419    .0598559
-------------------------------------------------------------------------------------
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_religious.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if religious==1 , r
  3.         regsave treatment using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Cont
> rols, 0, Facet, 4, Group, 1, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.98
                                                Prob > F          =     0.3229
                                                R-squared         =     0.0068
                                                Root MSE          =     .95173

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .1569836   .1582681     0.99   0.323    -.1558638     .469831
       _cons |  -.0279353   .1216387    -0.23   0.819    -.2683776    .2125071
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.17
                                                Prob > F          =     0.6825
                                                R-squared         =     0.0012
                                                Root MSE          =     .95991

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .065324   .1593577     0.41   0.682    -.2496771    .3803251
       _cons |  -.0622621   .1090268    -0.57   0.569    -.2777745    .1532504
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        145
                                                F(1, 143)         =       0.00
                                                Prob > F          =     0.9595
                                                R-squared         =     0.0000
                                                Root MSE          =     .98618

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |    .008338   .1638043     0.05   0.959    -.3154527    .3321287
       _cons |   .0377682    .116472     0.32   0.746    -.1924611    .2679974
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_religious.dta saved

. local demos stdprodemo stdquantity stddonationyn

. foreach demo in `demos'{
  2.         regr `demo' treatment if religious==0 , r
  3.         regsave treatment using "hte_religious.dta", ci pval tstat level(95) append addlabel (Var, `demo', Level, 95, Model, 1, Cont
> rols, 0, Facet, 4, Group, 2, Facet2, 1)
  4. }

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.02
                                                Prob > F          =     0.8956
                                                R-squared         =     0.0000
                                                Root MSE          =      1.013

------------------------------------------------------------------------------
             |               Robust
  stdprodemo |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |  -.0110699   .0843479    -0.13   0.896    -.1767375    .1545978
       _cons |  -.0073155   .0592895    -0.12   0.902    -.1237659    .1091348
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str10, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       0.58
                                                Prob > F          =     0.4464
                                                R-squared         =     0.0010
                                                Root MSE          =     1.0115

------------------------------------------------------------------------------
             |               Robust
 stdquantity |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0641794   .0842259     0.76   0.446    -.1012485    .2296072
       _cons |  -.0246522   .0584862    -0.42   0.674    -.1395249    .0902205
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str11, now str16 to accommodate using data's values)
file hte_religious.dta saved

Linear regression                               Number of obs     =        577
                                                F(1, 575)         =       1.33
                                                Prob > F          =     0.2492
                                                R-squared         =     0.0023
                                                Root MSE          =     1.0046

------------------------------------------------------------------------------
             |               Robust
stddonatio~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   treatment |   .0964612   .0836351     1.15   0.249    -.0678064    .2607288
       _cons |   -.058693   .0603204    -0.97   0.331    -.1771682    .0597822
------------------------------------------------------------------------------
(note: variable var was str9, now str23 to accommodate using data's values)
(note: variable Var was str13, now str16 to accommodate using data's values)
file hte_religious.dta saved

. 
. 
. 
. 
. use hte_religious.dta, clear

. drop variable

. 
. gen var2 = .
(78 missing values generated)

. replace var2 = 1 if Var== "stdjoy"
(3 real changes made)

. replace var2 = 2 if Var== "stdpride"
(3 real changes made)

. replace var2 = 3 if Var== "stdsadness"
(3 real changes made)

. replace var2 = 4 if Var== "stdhostility"
(3 real changes made)

. replace var2 = 5 if Var== "stdfear"
(3 real changes made)

. replace var2 = 6 if Var== "stddisgust"
(3 real changes made)

. replace var2 = 7 if Var== "stdanger"
(3 real changes made)

. replace var2 = 8 if Var== "stddisabled"
(3 real changes made)

. replace var2 = 9 if Var== "stdjewish"
(3 real changes made)

. replace var2 = 10 if Var== "stdasian"
(3 real changes made)

. replace var2 = 11 if Var== "stdblack"
(3 real changes made)

. replace var2 = 12 if Var== "stdlgb"
(3 real changes made)

. replace var2 = 13 if Var== "stdmuslim"
(3 real changes made)

. replace var2 = 14 if Var== "stdintersex"
(3 real changes made)

. replace var2 = 15 if Var== "stdtrans"
(3 real changes made)

. replace var2 = 16 if Var== "stdroma"
(3 real changes made)

. replace var2 = 17 if Var== "stdwitness"
(3 real changes made)

. replace var2 = 18 if Var== "stdc1"
(3 real changes made)

. replace var2 = 19 if Var== "stdrefrights"
(3 real changes made)

. replace var2 = 20 if Var== "stdrefterror_inv"
(3 real changes made)

. replace var2 = 21 if Var== "stdrefcrime_inv"
(3 real changes made)

. replace var2 = 22 if Var== "stdrefmoney_inv"
(3 real changes made)

. replace var2 = 23 if Var== "stdr1"
(3 real changes made)

. replace var2 = 24 if Var== "stdprodemo"
(3 real changes made)

. replace var2 = 25 if Var== "stddonationyn"
(3 real changes made)

. replace var2 = 26 if Var== "stdquantity"
(3 real changes made)

. tab var2

       var2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          3        3.85        3.85
          2 |          3        3.85        7.69
          3 |          3        3.85       11.54
          4 |          3        3.85       15.38
          5 |          3        3.85       19.23
          6 |          3        3.85       23.08
          7 |          3        3.85       26.92
          8 |          3        3.85       30.77
          9 |          3        3.85       34.62
         10 |          3        3.85       38.46
         11 |          3        3.85       42.31
         12 |          3        3.85       46.15
         13 |          3        3.85       50.00
         14 |          3        3.85       53.85
         15 |          3        3.85       57.69
         16 |          3        3.85       61.54
         17 |          3        3.85       65.38
         18 |          3        3.85       69.23
         19 |          3        3.85       73.08
         20 |          3        3.85       76.92
         21 |          3        3.85       80.77
         22 |          3        3.85       84.62
         23 |          3        3.85       88.46
         24 |          3        3.85       92.31
         25 |          3        3.85       96.15
         26 |          3        3.85      100.00
------------+-----------------------------------
      Total |         78      100.00

. 
. 
. save hte_religious.dta, replace
file hte_religious.dta saved

. 
. 
. * ··························  Table 2 Appendix ······························· *
. 
. * Coefficient and p-value : code for Figure 2
. * Bonferroni's alpha's : manually calculated 
. 
. 
. 
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. * ··························   DESCRIPTIVES  ································· *
. * ∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞∞ *
. use stones.dta, clear

. fre age gender religiosity state raceminoritymajority ethnicitysimplified education income ideoscale

age -- age
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |        203      28.12      28.12      28.12
        2     |        319      44.18      44.18      72.30
        3     |        129      17.87      17.87      90.17
        4     |         39       5.40       5.40      95.57
        5     |         26       3.60       3.60      99.17
        6     |          6       0.83       0.83     100.00
        Total |        722     100.00     100.00           
-----------------------------------------------------------

gender -- gender
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |        377      52.22      52.22      52.22
        2     |        345      47.78      47.78     100.00
        Total |        722     100.00     100.00           
-----------------------------------------------------------

religiosity -- religiosity
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |        145      20.08      20.08      20.08
        2     |        189      26.18      26.18      46.26
        3     |        365      50.55      50.55      96.81
        4     |         23       3.19       3.19     100.00
        Total |        722     100.00     100.00           
-----------------------------------------------------------

state -- state
-------------------------------------------------------------------------------
                                  |      Freq.    Percent      Valid       Cum.
----------------------------------+--------------------------------------------
Valid   1  Baden-Württemberg      |         87      12.05      12.05      12.05
        2  Bayern                 |         81      11.22      11.22      23.27
        3  Berlin                 |         36       4.99       4.99      28.25
        4  Brandenburg            |         21       2.91       2.91      31.16
        5  Bremen                 |         13       1.80       1.80      32.96
        6  Hamburg                |         18       2.49       2.49      35.46
        7  Hesse                  |         65       9.00       9.00      44.46
        8  Mecklenburg-Vorpommern |          6       0.83       0.83      45.29
        9  Niedersachsen          |         68       9.42       9.42      54.71
        10 Nordrhein-Westfalen    |        188      26.04      26.04      80.75
        11 Rheinland-Pfalz        |         39       5.40       5.40      86.15
        12 Saarland               |         10       1.39       1.39      87.53
        13 Sachsen                |         26       3.60       3.60      91.14
        14 Sachsen-Anhalt         |         14       1.94       1.94      93.07
        15 Schleswig-Holstein     |         33       4.57       4.57      97.65
        16 Thüringen              |         17       2.35       2.35     100.00
        Total                     |        722     100.00     100.00           
-------------------------------------------------------------------------------

raceminoritymajority -- raceminority
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |         75      10.39      10.39      10.39
        2     |        647      89.61      89.61     100.00
        Total |        722     100.00     100.00           
-----------------------------------------------------------

ethnicitysimplified -- Ethnicity simplified
------------------------------------------------------------------
                     |      Freq.    Percent      Valid       Cum.
---------------------+--------------------------------------------
Valid   Asian        |          9       1.25       1.25       1.25
        Black        |          2       0.28       0.28       1.52
        DATA_EXPIRED |         10       1.39       1.39       2.91
        Mixed        |         26       3.60       3.60       6.51
        Other        |          2       0.28       0.28       6.79
        White        |        673      93.21      93.21     100.00
        Total        |        722     100.00     100.00           
------------------------------------------------------------------

education -- education
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |         12       1.66       1.66       1.66
        2     |         70       9.70       9.70      11.36
        3     |        260      36.01      36.01      47.37
        4     |        199      27.56      27.56      74.93
        6     |        157      21.75      21.75      96.68
        7     |         24       3.32       3.32     100.00
        Total |        722     100.00     100.00           
-----------------------------------------------------------

income -- income
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   1     |        134      18.56      18.61      18.61
        2     |         94      13.02      13.06      31.67
        3     |        105      14.54      14.58      46.25
        4     |        185      25.62      25.69      71.94
        5     |        107      14.82      14.86      86.81
        6     |         58       8.03       8.06      94.86
        7     |         37       5.12       5.14     100.00
        Total |        720      99.72     100.00           
Missing .     |          2       0.28                      
Total         |        722     100.00                      
-----------------------------------------------------------

ideoscale -- ideoscale
-----------------------------------------------------------
              |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0     |         47       6.51       6.51       6.51
        1     |         34       4.71       4.71      11.22
        2     |         93      12.88      12.88      24.10
        3     |        183      25.35      25.35      49.45
        4     |        161      22.30      22.30      71.75
        5     |        122      16.90      16.90      88.64
        6     |         50       6.93       6.93      95.57
        7     |         23       3.19       3.19      98.75
        8     |          6       0.83       0.83      99.58
        9     |          2       0.28       0.28      99.86
        10    |          1       0.14       0.14     100.00
        Total |        722     100.00     100.00           
-----------------------------------------------------------

. 
. 
. 
. 
. 
. 
. log close
      name:  <unnamed>
       log:  ""
> ta/results.log
  log type:  text
 closed on:  21 Jul 2025, 10:03:33
-----------------------------------------------------------------------------------------------------------------------------------------
